First version
This commit is contained in:
parent
4849c559dc
commit
39e26368e3
39 changed files with 2861 additions and 3 deletions
49
.forgejo/workflows/ci.yml
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49
.forgejo/workflows/ci.yml
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name: CI
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on:
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push:
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branches: [main, dev]
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pull_request:
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branches: [main]
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jobs:
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build-and-push:
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name: Build and push Docker image
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout code
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uses: https://github.com/actions/checkout@v4
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- name: Set up Docker Buildx
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uses: https://github.com/docker/setup-buildx-action@v3
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- name: Log in to Forgejo Container Registry
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uses: https://github.com/docker/login-action@v3
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with:
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registry: git.tomfos.tr
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username: ${{ gitea.repository_owner }}
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password: ${{ secrets.FORGEJO_TOKEN }}
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- name: Determine image metadata
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id: meta
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uses: https://github.com/docker/metadata-action@v5
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with:
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images: git.tomfos.tr/${{ gitea.repository }}
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tags: |
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type=ref,event=branch,if=ref==refs/heads/main,format=latest
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type=ref,event=branch,format={{ref_name}}
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- name: Build and push Docker image
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uses: https://github.com/docker/build-push-action@v6
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with:
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context: .
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file: ./Dockerfile
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=registry,ref=git.tomfos.tr/${{ gitea.repository }}:build-cache
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cache-to: type=registry,ref=git.tomfos.tr/${{ gitea.repository }}:build-cache,mode=max
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1
.gitignore
vendored
1
.gitignore
vendored
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@ -161,4 +161,3 @@ cython_debug/
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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47
Dockerfile
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47
Dockerfile
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# Build stage using uv with a frozen lockfile and dependency caching
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FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS uv
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WORKDIR /app
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# Enable bytecode compilation and copy mode
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ENV UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy
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# Install dependencies using the lockfile
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COPY pyproject.toml uv.lock ./
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-dev --no-editable --no-install-project
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# Install the project in a second layer
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COPY . .
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-dev --no-editable
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# Prepare runtime image
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FROM python:3.13-slim-bookworm AS runtime
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WORKDIR /app
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# Install minimal system dependencies and create runtime user
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RUN apt-get update && apt-get install -y curl \
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&& rm -rf /var/lib/apt/lists/* \
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&& groupadd -g 1000 omcps \
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&& useradd -u 1000 -g 1000 -m omcps \
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&& mkdir -p /data \
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&& touch /data/memory.json \
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&& chown -R 1000:1000 /data
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# Copy only the virtual environment from the build stage
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COPY --from=uv /app/.venv /app/.venv
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# Switch to non-root user
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USER omcps
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# Set environment variables for runtime
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ENV PATH="/app/.venv/bin:$PATH" \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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MEMORY_FILE_PATH="/data/memory.json"
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# Use wrapper script to handle startup
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ENTRYPOINT ["uvicorn", "openapi_mcp_server.server:create_app", "--factory", "--host", "0.0.0.0", "--port", "80"]
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HEALTHCHECK --interval=30s --timeout=10s --retries=3 CMD curl -f http://localhost/health || exit 1
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69
README.md
69
README.md
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@ -1,3 +1,68 @@
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# openapi-mcp-server
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# OpenAPI MCP Server
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MCP server to provide OpenAPI-flavour tools to an Open WebUI instance
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A unified OpenAPI-compatible server for the Multi-agent Conversation Platform (MCP) that provides
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various tools for Open WebUI integration. This single server exposes multiple tools through FastAPI
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endpoints with full OpenAPI documentation.
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## Features
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The server provides the following tool endpoints:
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- **[Web Content Parsing](docs/web.md)** (`/web`) - Extract and parse web content using trafilatura
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- **[Memory/Storage](docs/memory.md)** (`/memory`) - Structured knowledge graph memory system
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- **[Time Operations](docs/time.md)** (`/time`) - Time utilities and timezone operations
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- **[Weather Information](docs/weather.md)** (`/weather`) - Real-time weather data and forecasts
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- **[Search](docs/searxng.md)** (`/searxng`) - Web search through SearXNG instances
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Each tool provides detailed endpoint documentation - click the links above to learn about specific
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endpoints and their capabilities.
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## Quick Start
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### Using Docker Compose (Recommended)
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```bash
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# Clone the repository
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git clone <repository-url>
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cd openapi-mcp-server
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# Start the server
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docker-compose up --build
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# The server will be available at http://localhost:8080
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# OpenAPI documentation at http://localhost:8080/docs
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```
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### Local Development
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```bash
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# Install dependencies using uv
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uv sync
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# Run the development server
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uv run openapi-mcp-server
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# The server will start on the default port with auto-reload
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```
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## API Documentation
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Once running, visit `/docs` for the interactive OpenAPI documentation where you can explore and test
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all available endpoints.
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## Configuration
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The server can be configured through environment variables:
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- `MEMORY_FILE_PATH` - Path to the memory storage file (default: `/data/memory.json`)
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- Additional tool-specific configuration options are documented in the individual tool modules
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## Architecture
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This project follows a unified single-server architecture:
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- **Single FastAPI application** serving multiple tool endpoints
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- **Modular tool design** with individual tools in `openapi_mcp_server/tools/`
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- **OpenAPI compliance** with full documentation and validation
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- **Docker-ready** with optimized multi-stage builds
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- **uv package management** for fast, reliable dependency handling
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19
docker-compose.yml
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19
docker-compose.yml
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services:
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tools:
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build:
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context: .
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dockerfile: Dockerfile
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environment:
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- MEMORY_FILE_PATH=/data/memory.json
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- SEARXNG_BASE_URL=http://searxng:8080
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image: git.tomfos.tr/tom/openapi-mcp-server:latest
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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ports:
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- "8080:80"
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restart: unless-stopped
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volumes:
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- ./data:/data:rw
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46
docs/memory.md
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46
docs/memory.md
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# Memory Tool
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A structured knowledge graph memory system that provides persistent storage for entities,
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relationships, and observations.
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## Overview
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The Memory tool provides a comprehensive knowledge graph system within the OpenAPI MCP Server
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framework. It allows you to store entities (people, places, concepts), create relationships between
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them, and add observations or facts about each entity.
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## Endpoints
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| Method | Endpoint | Description |
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|--------|----------|-------------|
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| `POST` | `/memory/create_entities` | Store new entities (people, places, concepts) with their properties and observations. Each entity has a name, type, and list of observations. |
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| `POST` | `/memory/create_relations` | Connect entities with srelationships (works_at, lives_in, knows, etc). Creates typed relationships between existing entities. |
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| `POST` | `/memory/add_observations` | Add new facts or observations to entities you've already stored. Extends existing entity knowledge without duplication. |
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| `POST` | `/memory/delete_entities` | Remove entities and all their connections from memory. Cleans up both the entity and any relationships involving it. |
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| `POST` | `/memory/delete_observations` | Remove specific facts or observations from entities. Allows selective cleanup of entity information. |
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| `POST` | `/memory/delete_relations` | Remove specific relationships between entities. Maintains entities while removing their connections. |
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| `GET` | `/memory/read_graph` | Retrieve all stored entities and relationships from memory. Returns the complete knowledge graph. |
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| `POST` | `/memory/search_nodes` | Find entities by searching names, types, or observations. Performs fuzzy search across all entity data. |
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| `POST` | `/memory/open_nodes` | Retrieve specific entities and their connections by exact name. Returns requested entities with their relationships. |
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## Key Features
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- **Knowledge Graph Structure**: Entities connected by typed relationships
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- **Flexible Entity Types**: Store people, places, concepts, or any custom entity types
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- **Rich Observations**: Each entity can have multiple observations or facts
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- **Relationship Management**: Create, query, and delete relationships between entities
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- **Search Capabilities**: Find entities by name, type, or observation content
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- **Persistent Storage**: All data persisted to file system with atomic operations
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- **Duplicate Prevention**: Automatic deduplication of entities and relationships
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## Data Model
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- **Entity**: Has name, entity_type, and list of observations
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- **Relationship**: Connects two entities with a relationship type (from, to, relation_type)
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- **Knowledge Graph**: Collection of entities and their relationships
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## Usage
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The Memory tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
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available under the `/memory` prefix when the server is running. Visit `/docs` for interactive API
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documentation.
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55
docs/searxng.md
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55
docs/searxng.md
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# SearXNG Tool
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A search proxy tool that provides search functionality through SearXNG search instances with OpenAPI
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compatibility.
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## Overview
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The SearXNG tool acts as a proxy server for SearXNG search instances, providing search capabilities
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within the OpenAPI MCP Server framework. It offers a standardized API interface for performing web
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searches across multiple search engines through SearXNG.
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## Endpoints
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| Method | Endpoint | Description |
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|--------|----------|-------------|
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| `POST` | `/searxng/search` | Search the web across multiple search engines. Accepts query, categories, engines, language, format, and pagination parameters. Returns structured search results with titles, URLs, content snippets, and metadata. |
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| `GET` | `/searxng/categories` | Get available search categories (general, images, news, etc). Returns list of categories that can be used to filter search results. |
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| `GET` | `/searxng/engines` | Get list of available search engines (Google, Bing, DuckDuckGo, etc). Returns engines that can be specified for targeted searches. |
|
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|
||||
## Key Features
|
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|
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- **Multi-Engine Search**: Search across multiple search engines simultaneously
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- **Category Filtering**: Filter results by category (general, images, videos, news, etc.)
|
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- **Engine Selection**: Choose specific search engines for targeted results
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- **Structured Results**: Returns clean, structured search results with titles, URLs, and snippets
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- **Metadata Rich**: Includes search metadata like result count, suggestions, and engine info
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- **Pagination Support**: Navigate through multiple pages of search results
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- **Language Support**: Search in specific languages with language parameter
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|
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## Configuration
|
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|
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Configure the target SearXNG instance using the `SEARXNG_BASE_URL` environment variable:
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|
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- **Default**: `http://localhost:8080`
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- **Custom**: Set `SEARXNG_BASE_URL=https://your-searxng-instance.com`
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|
||||
## Search Parameters
|
||||
|
||||
- **query**: Search terms (required)
|
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- **categories**: Comma-separated category filters (optional)
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- **engines**: Comma-separated engine selection (optional)
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- **language**: Language code (default: "en")
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- **format**: Response format (default: "json")
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- **pageno**: Page number for pagination (default: 1)
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||||
|
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## Usage
|
||||
|
||||
The SearXNG tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
|
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available under the `/searxng` prefix when the server is running. Visit `/docs` for interactive API
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documentation.
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## Dependencies
|
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|
||||
Requires a running SearXNG instance. SearXNG is a free, open-source metasearch engine that aggregates
|
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results from multiple search engines without tracking users.
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34
docs/time.md
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34
docs/time.md
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# Time Tool
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||||
|
||||
A comprehensive time utilities tool providing secure time operations, timezone conversion, and time
|
||||
calculations.
|
||||
|
||||
## Overview
|
||||
|
||||
The Time tool provides robust time-related functionality for the OpenAPI MCP Server, including
|
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current time retrieval, timezone conversions, Unix timestamp conversion, and timestamp parsing.
|
||||
|
||||
## Endpoints
|
||||
|
||||
| Method | Endpoint | Description |
|
||||
|--------|----------|-------------|
|
||||
| `GET` | `/time/get_time` | Get current time in any IANA timezone (defaults to UTC). Optional `timezone` parameter accepts IANA timezone names like 'America/New_York', 'Europe/London', etc. |
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||||
| `POST` | `/time/unix_to_iso` | Convert Unix epoch timestamp to ISO format. Accepts Unix timestamp (float) and optional target timezone. |
|
||||
| `POST` | `/time/convert_time` | Convert timestamp from one timezone to another. Requires timestamp, source timezone, and target timezone. |
|
||||
| `POST` | `/time/elapsed_time` | Calculate time difference between two timestamps. Returns difference in specified units (seconds, minutes, hours, days). |
|
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| `POST` | `/time/parse_timestamp` | Parse flexible human-readable timestamps (e.g. 'June 1st 2024 3:30 PM', 'tomorrow at noon', '2024-06-01 15:30') into standardized UTC ISO format. |
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||||
| `GET` | `/time/list_time_zones` | Get list of all valid IANA timezone names for use with other endpoints. |
|
||||
|
||||
## Key Features
|
||||
|
||||
- **Flexible Input**: Supports various timestamp formats and human-readable date strings
|
||||
- **Timezone Aware**: Full IANA timezone support with automatic conversions
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||||
- **Unix Compatibility**: Convert Unix epoch timestamps to readable ISO format
|
||||
- **Time Calculations**: Calculate elapsed time between any two timestamps
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||||
- **Standardized Output**: All timestamps returned in ISO 8601 format
|
||||
|
||||
## Usage
|
||||
|
||||
The Time tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
|
||||
available under the `/time` prefix when the server is running. Visit `/docs` for interactive API
|
||||
documentation.
|
||||
44
docs/weather.md
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44
docs/weather.md
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# Weather Tool
|
||||
|
||||
A weather information tool that provides real-time weather data and forecasts using the Open-Meteo API.
|
||||
|
||||
## Overview
|
||||
|
||||
The Weather tool provides weather information services within the OpenAPI MCP Server framework.
|
||||
It offers current weather conditions and hourly forecasts based on geographic coordinates using the
|
||||
reliable Open-Meteo weather API.
|
||||
|
||||
## Endpoints
|
||||
|
||||
| Method | Endpoint | Description |
|
||||
|--------|----------|-------------|
|
||||
| `GET` | `/weather/forecast` | Get current weather conditions and hourly forecast by coordinates. Requires latitude and longitude parameters. Temperature unit (Celsius/Fahrenheit) is automatically determined based on location. |
|
||||
|
||||
## Key Features
|
||||
|
||||
- **Real-time Weather**: Current temperature and wind speed conditions
|
||||
- **Hourly Forecasts**: Detailed hourly weather data including temperature, humidity, and wind speed
|
||||
- **Smart Units**: Automatic temperature unit selection (Fahrenheit for US/Liberia/Myanmar, Celsius elsewhere)
|
||||
- **Geographic Accuracy**: Location-based weather using precise latitude/longitude coordinates
|
||||
- **Timezone Aware**: Weather data includes proper timezone information
|
||||
- **Reliable Source**: Uses Open-Meteo API for accurate, up-to-date weather information
|
||||
|
||||
## Data Structure
|
||||
|
||||
Weather responses include:
|
||||
|
||||
- **Current conditions**: Real-time temperature and wind speed
|
||||
- **Hourly forecasts**: Temperature, relative humidity, and wind speed by hour
|
||||
- **Location metadata**: Coordinates, timezone, and regional information
|
||||
- **Units**: Clear indication of temperature and measurement units
|
||||
|
||||
## Usage
|
||||
|
||||
The Weather tool is automatically loaded by the OpenAPI MCP Server framework. The forecast endpoint is
|
||||
available at `/weather/forecast` and requires latitude and longitude query parameters. Visit `/docs`
|
||||
for interactive API documentation.
|
||||
|
||||
## Data Source
|
||||
|
||||
Powered by the Open-Meteo API (<https://open-meteo.com>), providing reliable and free weather data
|
||||
without requiring API keys.
|
||||
34
docs/web.md
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34
docs/web.md
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|
|||
# Web Tool
|
||||
|
||||
A web content parsing tool that extracts and processes web content using trafilatura for clean text
|
||||
extraction.
|
||||
|
||||
## Overview
|
||||
|
||||
The Web tool provides web content parsing and extraction capabilities within the OpenAPI MCP Server
|
||||
framework. It can fetch web pages and extract clean, readable content from HTML.
|
||||
|
||||
## Endpoints
|
||||
|
||||
| Method | Endpoint | Description |
|
||||
|--------|----------|-------------|
|
||||
| `POST` | `/web/web_read` | Extract and parse webpage content into clean markdown. Accepts URL and various formatting options (metadata, formatting, images, links, tables). Returns structured markdown content. |
|
||||
| `GET` | `/web/web_raw` | Fetch raw HTML content and headers from any URL. Returns unprocessed HTML content along with HTTP headers and status code for debugging or advanced processing. |
|
||||
|
||||
## Key Features
|
||||
|
||||
- **Clean Content Extraction**: Uses trafilatura library for high-quality text extraction from web pages
|
||||
- **Markdown Output**: Converts web content to clean, readable markdown format
|
||||
- **Flexible Formatting**: Control inclusion of metadata, formatting, images, links, and tables
|
||||
- **Raw Content Access**: Get unprocessed HTML and headers when needed
|
||||
- **Error Handling**: Robust error handling for failed requests and invalid URLs
|
||||
|
||||
## Usage
|
||||
|
||||
The Web tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
|
||||
available under the `/web` prefix when the server is running. Visit `/docs` for interactive API documentation.
|
||||
|
||||
## Technology
|
||||
|
||||
Built using trafilatura, a Python library specialized in extracting and processing web content,
|
||||
ensuring high-quality text extraction from web pages.
|
||||
7
openapi_mcp_server/__init__.py
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7
openapi_mcp_server/__init__.py
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|
|||
"""OpenAPI MCP Server package."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
__version__ = "0.1.0"
|
||||
__title__ = "OpenAPI MCP Server"
|
||||
__description__ = "An OpenAPI-compatible server for the Multi-agent Conversation Platform (MCP)."
|
||||
25
openapi_mcp_server/__main__.py
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25
openapi_mcp_server/__main__.py
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|
|
@ -0,0 +1,25 @@
|
|||
"""Entry point for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import uvicorn
|
||||
|
||||
from .core.config import config
|
||||
from .server import create_app
|
||||
|
||||
|
||||
def launch() -> None:
|
||||
"""Launch the OpenAPI MCP Server."""
|
||||
app = create_app()
|
||||
|
||||
uvicorn.run(
|
||||
app,
|
||||
host=config.host,
|
||||
port=config.port,
|
||||
reload=config.reload,
|
||||
log_level="debug" if config.debug else "info",
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
launch()
|
||||
3
openapi_mcp_server/core/__init__.py
Normal file
3
openapi_mcp_server/core/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Core components for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
29
openapi_mcp_server/core/config.py
Normal file
29
openapi_mcp_server/core/config.py
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
"""Configuration management for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pydantic import Field
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
class ServerConfig(BaseSettings):
|
||||
"""Server configuration settings."""
|
||||
|
||||
model_config = SettingsConfigDict(
|
||||
env_file=".env",
|
||||
case_sensitive=False,
|
||||
)
|
||||
|
||||
host: str = Field(default="0.0.0.0", alias="HOST")
|
||||
port: int = Field(default=8000, alias="PORT")
|
||||
debug: bool = Field(default=False, alias="DEBUG")
|
||||
reload: bool = Field(default=False, alias="RELOAD")
|
||||
|
||||
# CORS settings
|
||||
cors_origins: list[str] = Field(default=["*"], alias="CORS_ORIGINS")
|
||||
cors_methods: list[str] = Field(default=["*"], alias="CORS_METHODS")
|
||||
cors_headers: list[str] = Field(default=["*"], alias="CORS_HEADERS")
|
||||
cors_credentials: bool = Field(default=True, alias="CORS_CREDENTIALS")
|
||||
|
||||
|
||||
config = ServerConfig()
|
||||
23
openapi_mcp_server/core/middleware.py
Normal file
23
openapi_mcp_server/core/middleware.py
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
"""Middleware setup for the FastAPI application."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
from .config import config
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from fastapi import FastAPI
|
||||
|
||||
|
||||
def setup_middleware(app: FastAPI) -> None:
|
||||
"""Setup middleware for the FastAPI application."""
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=config.cors_origins,
|
||||
allow_credentials=config.cors_credentials,
|
||||
allow_methods=config.cors_methods,
|
||||
allow_headers=config.cors_headers,
|
||||
)
|
||||
67
openapi_mcp_server/core/registry.py
Normal file
67
openapi_mcp_server/core/registry.py
Normal file
|
|
@ -0,0 +1,67 @@
|
|||
"""Tool registry for dynamic discovery and registration."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from fastapi import FastAPI
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class ToolRegistry:
|
||||
"""Registry for managing tool modules and their routes."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the tool registry."""
|
||||
self.tools: dict[str, BaseTool] = {}
|
||||
|
||||
def discover_tools(self) -> None:
|
||||
"""Automatically discover and load all tool modules."""
|
||||
tools_path = Path(__file__).parent.parent / "tools"
|
||||
|
||||
for tool_dir in tools_path.iterdir():
|
||||
if (
|
||||
tool_dir.is_dir()
|
||||
and tool_dir.name not in {"__pycache__", "base.py"}
|
||||
and (tool_dir / "__init__.py").exists()
|
||||
and (tool_dir / "routes.py").exists()
|
||||
):
|
||||
self._load_tool(tool_dir.name)
|
||||
|
||||
def _load_tool(self, tool_name: str) -> None:
|
||||
"""Load a specific tool module."""
|
||||
try:
|
||||
# Import the tool's routes module
|
||||
module = importlib.import_module(f"openapi_mcp_server.tools.{tool_name}.routes")
|
||||
|
||||
# Look for a Tool class or get_tool function
|
||||
if hasattr(module, "tool"):
|
||||
tool = module.tool
|
||||
if isinstance(tool, BaseTool):
|
||||
self.tools[tool_name] = tool
|
||||
logger.info("Loaded tool: %s", tool_name)
|
||||
else:
|
||||
logger.warning("%s.tool is not a BaseTool instance", tool_name)
|
||||
else:
|
||||
logger.warning("%s module has no 'tool' attribute", tool_name)
|
||||
|
||||
except ImportError:
|
||||
logger.exception("Failed to load tool %s", tool_name)
|
||||
|
||||
def register_routes(self, app: FastAPI) -> None:
|
||||
"""Register all tool routes with the FastAPI application."""
|
||||
for tool_name, tool in self.tools.items():
|
||||
# Create a router with tool-specific prefix
|
||||
router = tool.get_router()
|
||||
app.include_router(router, prefix=f"/{tool_name}", tags=[tool_name])
|
||||
logger.info("Registered routes for tool: %s", tool_name)
|
||||
|
||||
|
||||
registry = ToolRegistry()
|
||||
3
openapi_mcp_server/models/__init__.py
Normal file
3
openapi_mcp_server/models/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Shared data models for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
18
openapi_mcp_server/models/base.py
Normal file
18
openapi_mcp_server/models/base.py
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
"""Base data models for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class HealthResponse(BaseModel):
|
||||
"""Standard health check response."""
|
||||
|
||||
status: str = Field(default="healthy", description="Service health status")
|
||||
service: str = Field(..., description="Service name")
|
||||
|
||||
|
||||
class ErrorResponse(BaseModel):
|
||||
"""Standard error response."""
|
||||
|
||||
detail: str = Field(..., description="Error message")
|
||||
64
openapi_mcp_server/server.py
Normal file
64
openapi_mcp_server/server.py
Normal file
|
|
@ -0,0 +1,64 @@
|
|||
"""Main FastAPI application factory."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
from . import __description__, __title__, __version__
|
||||
from .core.middleware import setup_middleware
|
||||
from .core.registry import registry
|
||||
from .models.base import HealthResponse
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from fastapi.routing import APIRoute
|
||||
|
||||
|
||||
def generate_unique_id(route: APIRoute) -> str:
|
||||
"""Generate a unique ID for a route.
|
||||
|
||||
Args:
|
||||
route (APIRoute): The route to generate an ID for.
|
||||
|
||||
Returns:
|
||||
str: The unique ID for the route.
|
||||
"""
|
||||
if route.tags:
|
||||
return f"{route.tags[0]}_{route.name}"
|
||||
return route.name
|
||||
|
||||
|
||||
def create_app() -> FastAPI:
|
||||
"""Create and configure the FastAPI application.
|
||||
|
||||
Returns:
|
||||
FastAPI: Configured FastAPI application instance.
|
||||
"""
|
||||
app = FastAPI(
|
||||
title=__title__,
|
||||
version=__version__,
|
||||
description=__description__,
|
||||
docs_url="/docs",
|
||||
redoc_url="/redoc",
|
||||
generate_unique_id_function=generate_unique_id,
|
||||
)
|
||||
|
||||
# Setup middleware
|
||||
setup_middleware(app)
|
||||
|
||||
# Add global health endpoint
|
||||
@app.get("/health", response_model=HealthResponse, tags=["health"])
|
||||
def health_check() -> HealthResponse:
|
||||
"""Global health check endpoint.
|
||||
|
||||
Returns:
|
||||
HealthResponse: Health status of the service.
|
||||
"""
|
||||
return HealthResponse(service="openapi-mcp-server")
|
||||
|
||||
# Discover and register tool routes
|
||||
registry.discover_tools()
|
||||
registry.register_routes(app)
|
||||
|
||||
return app
|
||||
3
openapi_mcp_server/tools/__init__.py
Normal file
3
openapi_mcp_server/tools/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Tool implementations for the OpenAPI MCP Server."""
|
||||
|
||||
from __future__ import annotations
|
||||
30
openapi_mcp_server/tools/base.py
Normal file
30
openapi_mcp_server/tools/base.py
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
"""Base classes for MCP tools."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from fastapi import APIRouter
|
||||
|
||||
|
||||
class BaseTool(ABC):
|
||||
"""Base class for all MCP tools."""
|
||||
|
||||
def __init__(self, name: str, description: str) -> None:
|
||||
"""Initialize the tool with name and description."""
|
||||
self.name = name
|
||||
self.description = description
|
||||
|
||||
@abstractmethod
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for this tool."""
|
||||
|
||||
def get_health_endpoint(self) -> dict[str, str]:
|
||||
"""Standard health check response for this tool.
|
||||
|
||||
Returns:
|
||||
dict[str, str]: Health status dictionary.
|
||||
"""
|
||||
return {"status": "healthy", "service": self.name}
|
||||
3
openapi_mcp_server/tools/memory/__init__.py
Normal file
3
openapi_mcp_server/tools/memory/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Memory/storage functionality tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
80
openapi_mcp_server/tools/memory/models.py
Normal file
80
openapi_mcp_server/tools/memory/models.py
Normal file
|
|
@ -0,0 +1,80 @@
|
|||
"""Data models for memory/storage tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class Memory(BaseModel):
|
||||
"""A timestamped fact that references one or more entities."""
|
||||
|
||||
id: str = Field(..., description="Unique identifier for this memory")
|
||||
content: str = Field(
|
||||
...,
|
||||
description=(
|
||||
"The detailed fact or information stored (comprehensive details for optimal recall)"
|
||||
),
|
||||
)
|
||||
entities: list[str] = Field(..., description="List of entity names this memory references")
|
||||
timestamp: str = Field(..., description="ISO timestamp when this memory was created")
|
||||
|
||||
|
||||
class Entity(BaseModel):
|
||||
"""Simple entity reference."""
|
||||
|
||||
name: str = Field(..., description="The name of the entity")
|
||||
entity_type: str = Field(default="general", description="The type of the entity")
|
||||
memory_count: int = Field(default=0, description="Number of memories referencing this entity")
|
||||
|
||||
|
||||
class MemoryGraph(BaseModel):
|
||||
"""Collection of memories and entities."""
|
||||
|
||||
memories: list[Memory]
|
||||
entities: list[Entity]
|
||||
|
||||
|
||||
class CreateMemoryRequest(BaseModel):
|
||||
"""Request to create a new memory."""
|
||||
|
||||
content: str = Field(
|
||||
...,
|
||||
description=(
|
||||
"The detailed fact or information to store. Include comprehensive details, "
|
||||
"context, and specifics for best recall - avoid brief summaries."
|
||||
),
|
||||
)
|
||||
entities: list[str] = Field(..., description="List of entity names this memory references")
|
||||
|
||||
|
||||
class SearchMemoryRequest(BaseModel):
|
||||
"""Request to search memories."""
|
||||
|
||||
query: str = Field(..., description="Search term to find in memory content or entity names")
|
||||
limit: int = Field(default=10, description="Maximum number of memories to return")
|
||||
|
||||
|
||||
class GetEntityRequest(BaseModel):
|
||||
"""Request to get memories for specific entities."""
|
||||
|
||||
entities: list[str] = Field(..., description="List of entity names to retrieve memories for")
|
||||
limit: int = Field(default=5, description="Maximum number of memories to return")
|
||||
|
||||
|
||||
class DeleteMemoryRequest(BaseModel):
|
||||
"""Request to delete specific memories."""
|
||||
|
||||
memory_ids: list[str] = Field(..., description="List of memory IDs to delete")
|
||||
|
||||
|
||||
class MemorySummary(BaseModel):
|
||||
"""Summary statistics about stored memories."""
|
||||
|
||||
total_memories: int = Field(..., description="Total number of memories stored")
|
||||
total_entities: int = Field(..., description="Total number of unique entities")
|
||||
oldest_memory: str | None = Field(..., description="ISO timestamp of oldest memory")
|
||||
latest_memory: str | None = Field(..., description="ISO timestamp of latest memory")
|
||||
memory_timespan_days: int | None = Field(
|
||||
..., description="Days between oldest and latest memory"
|
||||
)
|
||||
top_entities: list[Entity] = Field(..., description="Most frequently referenced entities")
|
||||
300
openapi_mcp_server/tools/memory/routes.py
Normal file
300
openapi_mcp_server/tools/memory/routes.py
Normal file
|
|
@ -0,0 +1,300 @@
|
|||
"""API routes for memory/storage tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import datetime
|
||||
|
||||
from fastapi import APIRouter
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
from .models import (
|
||||
CreateMemoryRequest,
|
||||
DeleteMemoryRequest,
|
||||
Entity,
|
||||
GetEntityRequest,
|
||||
Memory,
|
||||
MemoryGraph,
|
||||
MemorySummary,
|
||||
SearchMemoryRequest,
|
||||
)
|
||||
from .storage import (
|
||||
generate_memory_id,
|
||||
get_current_timestamp,
|
||||
read_memory_graph,
|
||||
save_memory_graph,
|
||||
)
|
||||
|
||||
|
||||
class MemoryTool(BaseTool):
|
||||
"""Simplified memory system for storing timestamped facts."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the memory tool."""
|
||||
super().__init__(
|
||||
name="memory",
|
||||
description="A simple memory system for storing timestamped facts about entities",
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_memory(req: CreateMemoryRequest) -> Memory:
|
||||
"""Store a new memory/fact.
|
||||
|
||||
Returns:
|
||||
Memory: The newly created memory with auto-generated timestamp and ID.
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
|
||||
# Create new memory with auto-generated timestamp and ID
|
||||
memory = Memory(
|
||||
id=generate_memory_id(),
|
||||
content=req.content,
|
||||
entities=req.entities,
|
||||
timestamp=get_current_timestamp(),
|
||||
)
|
||||
|
||||
graph.memories.append(memory)
|
||||
|
||||
# Update entity counts and ensure entities exist
|
||||
entity_dict = {e.name: e for e in graph.entities}
|
||||
for entity_name in req.entities:
|
||||
if entity_name in entity_dict:
|
||||
entity_dict[entity_name].memory_count += 1
|
||||
else:
|
||||
# Create new entity
|
||||
new_entity = Entity(name=entity_name, entity_type="general", memory_count=1)
|
||||
graph.entities.append(new_entity)
|
||||
entity_dict[entity_name] = new_entity
|
||||
|
||||
save_memory_graph(graph)
|
||||
return memory
|
||||
|
||||
@staticmethod
|
||||
def get_all_memories(limit: int = 20) -> MemoryGraph:
|
||||
"""Get all memories and entities.
|
||||
|
||||
Returns:
|
||||
MemoryGraph: All stored memories and entities, sorted by timestamp (newest first).
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
# Sort memories by timestamp (newest first)
|
||||
graph.memories.sort(key=lambda m: m.timestamp, reverse=True)
|
||||
if limit and len(graph.memories) > limit:
|
||||
graph.memories = graph.memories[:limit]
|
||||
return graph
|
||||
|
||||
@staticmethod
|
||||
def search_memories(req: SearchMemoryRequest) -> MemoryGraph:
|
||||
"""Search memories by content or entity names.
|
||||
|
||||
Returns:
|
||||
MemoryGraph: Filtered memories matching the search query.
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
query = req.query.lower()
|
||||
|
||||
matching_memories = []
|
||||
for memory in graph.memories:
|
||||
# Search in content
|
||||
if query in memory.content.lower():
|
||||
matching_memories.append(memory)
|
||||
continue
|
||||
# Search in entity names
|
||||
if any(query in entity.lower() for entity in memory.entities):
|
||||
matching_memories.append(memory)
|
||||
|
||||
# Sort by timestamp (newest first) and apply limit
|
||||
matching_memories.sort(key=lambda m: m.timestamp, reverse=True)
|
||||
if len(matching_memories) > req.limit:
|
||||
matching_memories = matching_memories[: req.limit]
|
||||
|
||||
# Get entities referenced in matching memories
|
||||
referenced_entities = set()
|
||||
for memory in matching_memories:
|
||||
referenced_entities.update(memory.entities)
|
||||
|
||||
matching_entities = [e for e in graph.entities if e.name in referenced_entities]
|
||||
|
||||
return MemoryGraph(memories=matching_memories, entities=matching_entities)
|
||||
|
||||
@staticmethod
|
||||
def get_entity_memories(req: GetEntityRequest) -> MemoryGraph:
|
||||
"""Get memories for specific entities.
|
||||
|
||||
Returns:
|
||||
MemoryGraph: Memories that reference the specified entities.
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
|
||||
# Check if memory references any of the requested entities
|
||||
matching_memories = [
|
||||
memory
|
||||
for memory in graph.memories
|
||||
if any(entity in memory.entities for entity in req.entities)
|
||||
]
|
||||
|
||||
# Sort by timestamp (newest first) and apply limit
|
||||
matching_memories.sort(key=lambda m: m.timestamp, reverse=True)
|
||||
if len(matching_memories) > req.limit:
|
||||
matching_memories = matching_memories[: req.limit]
|
||||
|
||||
# Get the requested entities
|
||||
matching_entities = [e for e in graph.entities if e.name in req.entities]
|
||||
|
||||
return MemoryGraph(memories=matching_memories, entities=matching_entities)
|
||||
|
||||
@staticmethod
|
||||
def delete_memories(req: DeleteMemoryRequest) -> dict[str, str]:
|
||||
"""Delete specific memories by ID.
|
||||
|
||||
Returns:
|
||||
dict: Success message with count of deleted memories.
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
original_count = len(graph.memories)
|
||||
|
||||
# Remove memories and track which entities were affected
|
||||
affected_entities = set()
|
||||
graph.memories = [
|
||||
m
|
||||
for m in graph.memories
|
||||
if m.id not in req.memory_ids or affected_entities.update(m.entities)
|
||||
]
|
||||
|
||||
deleted_count = original_count - len(graph.memories)
|
||||
|
||||
# Recalculate entity memory counts
|
||||
entity_counts = {}
|
||||
for memory in graph.memories:
|
||||
for entity_name in memory.entities:
|
||||
entity_counts[entity_name] = entity_counts.get(entity_name, 0) + 1
|
||||
|
||||
# Update entity counts and remove entities with zero memories
|
||||
graph.entities = [
|
||||
Entity(
|
||||
name=e.name, entity_type=e.entity_type, memory_count=entity_counts.get(e.name, 0)
|
||||
)
|
||||
for e in graph.entities
|
||||
if entity_counts.get(e.name, 0) > 0
|
||||
]
|
||||
|
||||
save_memory_graph(graph)
|
||||
return {"message": f"Deleted {deleted_count} memories"}
|
||||
|
||||
@staticmethod
|
||||
def get_summary() -> MemorySummary:
|
||||
"""Get summary statistics about stored memories.
|
||||
|
||||
Returns:
|
||||
MemorySummary: Statistics about memories and entities.
|
||||
"""
|
||||
graph = read_memory_graph()
|
||||
|
||||
if not graph.memories:
|
||||
return MemorySummary(
|
||||
total_memories=0,
|
||||
total_entities=0,
|
||||
oldest_memory=None,
|
||||
latest_memory=None,
|
||||
memory_timespan_days=None,
|
||||
top_entities=[],
|
||||
)
|
||||
|
||||
# Sort memories by timestamp
|
||||
sorted_memories = sorted(graph.memories, key=lambda m: m.timestamp)
|
||||
oldest = sorted_memories[0].timestamp
|
||||
latest = sorted_memories[-1].timestamp
|
||||
|
||||
# Calculate timespan
|
||||
try:
|
||||
oldest_dt = datetime.fromisoformat(oldest)
|
||||
latest_dt = datetime.fromisoformat(latest)
|
||||
timespan_days = (latest_dt - oldest_dt).days
|
||||
except ValueError:
|
||||
timespan_days = None
|
||||
|
||||
# Get top entities by memory count
|
||||
top_entities = sorted(graph.entities, key=lambda e: e.memory_count, reverse=True)[:10]
|
||||
|
||||
return MemorySummary(
|
||||
total_memories=len(graph.memories),
|
||||
total_entities=len(graph.entities),
|
||||
oldest_memory=oldest,
|
||||
latest_memory=latest,
|
||||
memory_timespan_days=timespan_days,
|
||||
top_entities=top_entities,
|
||||
)
|
||||
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for memory tool endpoints."""
|
||||
router = APIRouter()
|
||||
|
||||
router.add_api_route(
|
||||
"/create",
|
||||
MemoryTool.create_memory,
|
||||
methods=["POST"],
|
||||
response_model=Memory,
|
||||
summary=(
|
||||
"STORE MEMORY: Save detailed information about entities. Include comprehensive "
|
||||
"details, context, and specifics - avoid brief summaries."
|
||||
),
|
||||
)
|
||||
|
||||
router.add_api_route(
|
||||
"/all",
|
||||
MemoryTool.get_all_memories,
|
||||
methods=["GET"],
|
||||
response_model=MemoryGraph,
|
||||
summary=(
|
||||
"GET ALL MEMORIES: Retrieve all stored memories and entities, sorted by timestamp "
|
||||
"(newest first)."
|
||||
),
|
||||
)
|
||||
|
||||
router.add_api_route(
|
||||
"/search",
|
||||
MemoryTool.search_memories,
|
||||
methods=["POST"],
|
||||
response_model=MemoryGraph,
|
||||
summary=(
|
||||
"SEARCH MEMORIES: Find memories by searching content or entity names. Returns "
|
||||
"matching memories sorted by time."
|
||||
),
|
||||
)
|
||||
|
||||
router.add_api_route(
|
||||
"/entity",
|
||||
MemoryTool.get_entity_memories,
|
||||
methods=["POST"],
|
||||
response_model=MemoryGraph,
|
||||
summary=(
|
||||
"GET ENTITY MEMORIES: Retrieve all memories that reference specific entities, "
|
||||
"sorted by timestamp."
|
||||
),
|
||||
)
|
||||
|
||||
router.add_api_route(
|
||||
"/delete",
|
||||
MemoryTool.delete_memories,
|
||||
methods=["POST"],
|
||||
summary=(
|
||||
"DELETE MEMORIES: Remove specific memories by their IDs. Entity counts are "
|
||||
"automatically updated."
|
||||
),
|
||||
)
|
||||
|
||||
router.add_api_route(
|
||||
"/stats",
|
||||
MemoryTool.get_summary,
|
||||
methods=["GET"],
|
||||
response_model=MemorySummary,
|
||||
summary=(
|
||||
"MEMORY STATS: Get summary statistics - total memories, entities, timespan, and "
|
||||
"top entities by frequency."
|
||||
),
|
||||
)
|
||||
|
||||
return router
|
||||
|
||||
|
||||
tool = MemoryTool()
|
||||
88
openapi_mcp_server/tools/memory/storage.py
Normal file
88
openapi_mcp_server/tools/memory/storage.py
Normal file
|
|
@ -0,0 +1,88 @@
|
|||
"""Storage implementation for memory tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
from datetime import UTC, datetime
|
||||
from pathlib import Path
|
||||
|
||||
from fastapi import HTTPException
|
||||
|
||||
from .models import Entity, Memory, MemoryGraph
|
||||
|
||||
MEMORY_FILE_PATH_ENV = os.getenv("MEMORY_FILE_PATH", "memory.json")
|
||||
MEMORY_FILE_PATH = Path(
|
||||
MEMORY_FILE_PATH_ENV
|
||||
if Path(MEMORY_FILE_PATH_ENV).is_absolute()
|
||||
else Path(__file__).parent / MEMORY_FILE_PATH_ENV
|
||||
)
|
||||
|
||||
|
||||
def read_memory_graph() -> MemoryGraph:
|
||||
"""Read the memory graph from file.
|
||||
|
||||
Returns:
|
||||
MemoryGraph: The memory graph loaded from storage.
|
||||
|
||||
Raises:
|
||||
HTTPException: If the memory file is not found or permission is denied.
|
||||
"""
|
||||
if not MEMORY_FILE_PATH.exists():
|
||||
return MemoryGraph(memories=[], entities=[])
|
||||
|
||||
try:
|
||||
with MEMORY_FILE_PATH.open(encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
|
||||
memories = [Memory(**m) for m in data.get("memories", [])]
|
||||
entities = [Entity(**e) for e in data.get("entities", [])]
|
||||
|
||||
return MemoryGraph(memories=memories, entities=entities)
|
||||
except PermissionError as e:
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail=f"Permission denied when reading memory file: {MEMORY_FILE_PATH}",
|
||||
) from e
|
||||
except json.JSONDecodeError:
|
||||
# Handle legacy format or corrupted file
|
||||
return MemoryGraph(memories=[], entities=[])
|
||||
|
||||
|
||||
def save_memory_graph(graph: MemoryGraph) -> None:
|
||||
"""Save the memory graph to file.
|
||||
|
||||
Raises:
|
||||
HTTPException: If the memory file is not found or permission is denied.
|
||||
"""
|
||||
data = {
|
||||
"memories": [m.model_dump() for m in graph.memories],
|
||||
"entities": [e.model_dump() for e in graph.entities],
|
||||
}
|
||||
|
||||
try:
|
||||
with MEMORY_FILE_PATH.open("w", encoding="utf-8") as f:
|
||||
json.dump(data, f, indent=2)
|
||||
except PermissionError as e:
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail=f"Permission denied when writing to memory file: {MEMORY_FILE_PATH}",
|
||||
) from e
|
||||
|
||||
|
||||
def generate_memory_id() -> str:
|
||||
"""Generate a unique ID for a memory.
|
||||
|
||||
Returns:
|
||||
str: Unique memory identifier with timestamp.
|
||||
"""
|
||||
return f"mem_{datetime.now(UTC).strftime('%Y%m%d_%H%M%S_%f')}"
|
||||
|
||||
|
||||
def get_current_timestamp() -> str:
|
||||
"""Get current UTC timestamp in ISO format.
|
||||
|
||||
Returns:
|
||||
str: UTC timestamp in ISO format with Z suffix.
|
||||
"""
|
||||
return datetime.now(UTC).isoformat() + "Z"
|
||||
3
openapi_mcp_server/tools/searxng/__init__.py
Normal file
3
openapi_mcp_server/tools/searxng/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Search functionality via SearXNG."""
|
||||
|
||||
from __future__ import annotations
|
||||
62
openapi_mcp_server/tools/searxng/models.py
Normal file
62
openapi_mcp_server/tools/searxng/models.py
Normal file
|
|
@ -0,0 +1,62 @@
|
|||
"""Data models for SearXNG search tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class SearchRequest(BaseModel):
|
||||
"""Request model for search operations."""
|
||||
|
||||
query: str = Field(..., description="Search query string")
|
||||
categories: str | None = Field(
|
||||
None, description="Comma-separated categories (e.g. 'general,web')"
|
||||
)
|
||||
engines: str | None = Field(None, description="Comma-separated search engines")
|
||||
language: str | None = Field("en", description="Language code (e.g. 'en', 'de')")
|
||||
format: str | None = Field("json", description="Response format (json, csv, rss)")
|
||||
pageno: int | None = Field(1, description="Page number")
|
||||
|
||||
|
||||
class SearchResult(BaseModel):
|
||||
"""Individual search result model."""
|
||||
|
||||
title: str = Field(..., description="Result title")
|
||||
url: str = Field(..., description="Result URL")
|
||||
content: str | None = Field(None, description="Result content/snippet")
|
||||
engine: str = Field(..., description="Search engine that provided this result")
|
||||
category: str = Field(..., description="Category of the result")
|
||||
|
||||
|
||||
class SearchResponse(BaseModel):
|
||||
"""Response model for search operations."""
|
||||
|
||||
query: str = Field(..., description="Original search query")
|
||||
number_of_results: int = Field(..., description="Total number of results found")
|
||||
results: list[SearchResult] = Field(..., description="Search results")
|
||||
infoboxes: list[dict[str, Any]] | None = Field(None, description="Information boxes")
|
||||
suggestions: list[str] | None = Field(None, description="Search suggestions")
|
||||
engines: list[str] | None = Field(None, description="Engines used for search")
|
||||
|
||||
|
||||
class CategoriesResponse(BaseModel):
|
||||
"""Response model for available categories."""
|
||||
|
||||
categories: list[str] = Field(..., description="Available search categories")
|
||||
note: str | None = Field(None, description="Additional notes about the response")
|
||||
|
||||
|
||||
class EnginesResponse(BaseModel):
|
||||
"""Response model for available engines."""
|
||||
|
||||
engines: list[str] = Field(..., description="Available search engines")
|
||||
note: str | None = Field(None, description="Additional notes about the response")
|
||||
|
||||
|
||||
class HealthResponse(BaseModel):
|
||||
"""Health response model for SearXNG service."""
|
||||
|
||||
status: str = Field(..., description="Service health status")
|
||||
searxng_url: str = Field(..., description="SearXNG instance URL")
|
||||
188
openapi_mcp_server/tools/searxng/routes.py
Normal file
188
openapi_mcp_server/tools/searxng/routes.py
Normal file
|
|
@ -0,0 +1,188 @@
|
|||
"""API routes for SearXNG search tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
|
||||
import requests
|
||||
from fastapi import APIRouter, HTTPException
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
from .models import (
|
||||
CategoriesResponse,
|
||||
EnginesResponse,
|
||||
SearchRequest,
|
||||
SearchResponse,
|
||||
SearchResult,
|
||||
)
|
||||
|
||||
SEARXNG_BASE_URL = os.getenv("SEARXNG_BASE_URL", "http://localhost:8080")
|
||||
|
||||
|
||||
class SearxngTool(BaseTool):
|
||||
"""SearXNG search proxy tool."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the searxng tool."""
|
||||
super().__init__(
|
||||
name="searxng",
|
||||
description="Proxy server for SearXNG search instances with OpenAPI compatibility",
|
||||
)
|
||||
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for searxng tool endpoints."""
|
||||
router = APIRouter()
|
||||
|
||||
@router.post(
|
||||
"/search",
|
||||
response_model=SearchResponse,
|
||||
summary="Search the web across multiple search engines",
|
||||
)
|
||||
def search(request: SearchRequest) -> SearchResponse:
|
||||
"""Search the web across multiple search engines.
|
||||
|
||||
Returns:
|
||||
SearchResponse: Search results from SearXNG.
|
||||
"""
|
||||
return SearxngTool._perform_search(
|
||||
request.query,
|
||||
request.categories,
|
||||
request.engines,
|
||||
request.language,
|
||||
request.format,
|
||||
request.pageno,
|
||||
)
|
||||
|
||||
@router.get(
|
||||
"/categories",
|
||||
response_model=CategoriesResponse,
|
||||
summary="Get available search categories (general, images, news, etc)",
|
||||
)
|
||||
def categories() -> CategoriesResponse:
|
||||
"""Get available search categories from SearXNG.
|
||||
|
||||
Returns:
|
||||
CategoriesResponse: Available search categories.
|
||||
"""
|
||||
try:
|
||||
response = requests.get(f"{SEARXNG_BASE_URL}/config", timeout=10)
|
||||
response.raise_for_status()
|
||||
config = response.json()
|
||||
|
||||
categories = config.get("categories", [])
|
||||
return CategoriesResponse(categories=categories or [])
|
||||
|
||||
except Exception as e:
|
||||
return CategoriesResponse(
|
||||
categories=[
|
||||
"general",
|
||||
"images",
|
||||
"videos",
|
||||
"news",
|
||||
"map",
|
||||
"music",
|
||||
"it",
|
||||
"science",
|
||||
"files",
|
||||
"social media",
|
||||
],
|
||||
note=f"Using default categories (SearXNG config unavailable: {e!s})",
|
||||
)
|
||||
|
||||
@router.get(
|
||||
"/engines",
|
||||
response_model=EnginesResponse,
|
||||
summary="Get list of available search engines (Google, Bing, DuckDuckGo, etc)",
|
||||
)
|
||||
def engines() -> EnginesResponse:
|
||||
"""Get available search engines from SearXNG.
|
||||
|
||||
Returns:
|
||||
EnginesResponse: Available search engines.
|
||||
"""
|
||||
try:
|
||||
response = requests.get(f"{SEARXNG_BASE_URL}/config", timeout=10)
|
||||
response.raise_for_status()
|
||||
config = response.json()
|
||||
|
||||
engines = config.get("engines", [])
|
||||
engine_names = [engine.get("name") for engine in engines if engine.get("name")]
|
||||
return EnginesResponse(engines=engine_names)
|
||||
|
||||
except Exception as e:
|
||||
return EnginesResponse(
|
||||
engines=[],
|
||||
note=f"Unable to fetch engines from SearXNG: {e!s}",
|
||||
)
|
||||
|
||||
return router
|
||||
|
||||
@staticmethod
|
||||
def _perform_search(
|
||||
query: str,
|
||||
categories: str | None = None,
|
||||
engines: str | None = None,
|
||||
language: str = "en",
|
||||
response_format: str = "json",
|
||||
pageno: int = 1,
|
||||
) -> SearchResponse:
|
||||
"""Internal function to perform the actual search.
|
||||
|
||||
Returns:
|
||||
SearchResponse: Search results from SearXNG.
|
||||
|
||||
Raises:
|
||||
HTTPException: If search fails or service is unavailable.
|
||||
"""
|
||||
params = {"q": query, "format": response_format, "lang": language, "pageno": pageno}
|
||||
|
||||
if categories:
|
||||
params["categories"] = categories
|
||||
|
||||
if engines:
|
||||
params["engines"] = engines
|
||||
|
||||
try:
|
||||
response = requests.get(f"{SEARXNG_BASE_URL}/search", params=params, timeout=30)
|
||||
response.raise_for_status()
|
||||
|
||||
if response_format.lower() != "json":
|
||||
raise HTTPException(status_code=400, detail="Only JSON format is supported")
|
||||
|
||||
data = response.json()
|
||||
|
||||
results = []
|
||||
for result in data.get("results", []):
|
||||
search_result = SearchResult(
|
||||
title=result.get("title", ""),
|
||||
url=result.get("url", ""),
|
||||
content=result.get("content", result.get("snippet", "")),
|
||||
engine=result.get("engine", "unknown"),
|
||||
category=result.get("category", "general"),
|
||||
)
|
||||
results.append(search_result)
|
||||
|
||||
return SearchResponse(
|
||||
query=query,
|
||||
number_of_results=data.get("number_of_results", len(results)),
|
||||
results=results,
|
||||
infoboxes=data.get("infoboxes"),
|
||||
suggestions=data.get("suggestions"),
|
||||
engines=data.get("engines"),
|
||||
)
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
raise HTTPException(
|
||||
status_code=503, detail=f"SearXNG service unavailable: {e!s}"
|
||||
) from e
|
||||
except json.JSONDecodeError as e:
|
||||
raise HTTPException(
|
||||
status_code=502, detail=f"Invalid JSON response from SearXNG: {e!s}"
|
||||
) from e
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=f"Search error: {e!s}") from e
|
||||
|
||||
|
||||
tool = SearxngTool()
|
||||
3
openapi_mcp_server/tools/time/__init__.py
Normal file
3
openapi_mcp_server/tools/time/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Time-related operations tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
76
openapi_mcp_server/tools/time/models.py
Normal file
76
openapi_mcp_server/tools/time/models.py
Normal file
|
|
@ -0,0 +1,76 @@
|
|||
"""Data models for time operations tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class ConvertTimeInput(BaseModel):
|
||||
"""Input model for converting time between timezones."""
|
||||
|
||||
timestamp: str = Field(
|
||||
..., description="ISO 8601 formatted time string (e.g., 2024-01-01T12:00:00Z)"
|
||||
)
|
||||
from_tz: str = Field(
|
||||
..., description="Original IANA time zone of input (e.g. UTC or Europe/Berlin)"
|
||||
)
|
||||
to_tz: str = Field(..., description="Target IANA time zone to convert to")
|
||||
|
||||
|
||||
class ElapsedTimeInput(BaseModel):
|
||||
"""Input model for calculating elapsed time."""
|
||||
|
||||
start: str = Field(..., description="Start timestamp in ISO 8601 format")
|
||||
end: str = Field(..., description="End timestamp in ISO 8601 format")
|
||||
units: Literal["seconds", "minutes", "hours", "days"] = Field(
|
||||
"seconds", description="Unit for elapsed time"
|
||||
)
|
||||
|
||||
|
||||
class ParseTimestampInput(BaseModel):
|
||||
"""Input model for parsing timestamp strings."""
|
||||
|
||||
timestamp: str = Field(
|
||||
..., description="Flexible input timestamp string (e.g., 2024-06-01 12:00 PM)"
|
||||
)
|
||||
timezone: str = Field("UTC", description="Assumed timezone if none is specified in input")
|
||||
|
||||
|
||||
class UnixToIsoInput(BaseModel):
|
||||
"""Input model for converting Unix timestamp to ISO format."""
|
||||
|
||||
timestamp: float = Field(..., description="Unix epoch timestamp (seconds since 1970-01-01)")
|
||||
timezone: str = Field("UTC", description="Target timezone for output (defaults to UTC)")
|
||||
|
||||
|
||||
class TimeResponse(BaseModel):
|
||||
"""Response model for UTC time."""
|
||||
|
||||
utc: str = Field(..., description="UTC time in ISO format")
|
||||
|
||||
|
||||
class ConvertedTimeResponse(BaseModel):
|
||||
"""Response model for converted time."""
|
||||
|
||||
converted_time: str = Field(..., description="Converted time in ISO format")
|
||||
|
||||
|
||||
class ElapsedTimeResponse(BaseModel):
|
||||
"""Response model for elapsed time calculation."""
|
||||
|
||||
elapsed: float = Field(..., description="Elapsed time in specified units")
|
||||
unit: str = Field(..., description="Unit of elapsed time")
|
||||
|
||||
|
||||
class ParsedTimestampResponse(BaseModel):
|
||||
"""Response model for parsed timestamp."""
|
||||
|
||||
utc: str = Field(..., description="Parsed timestamp in UTC ISO format")
|
||||
|
||||
|
||||
class UnixToIsoResponse(BaseModel):
|
||||
"""Response model for Unix to ISO conversion."""
|
||||
|
||||
iso_time: str = Field(..., description="ISO formatted timestamp")
|
||||
210
openapi_mcp_server/tools/time/routes.py
Normal file
210
openapi_mcp_server/tools/time/routes.py
Normal file
|
|
@ -0,0 +1,210 @@
|
|||
"""API routes for time operations tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import UTC, datetime
|
||||
|
||||
import pytz
|
||||
from dateutil import parser as dateutil_parser
|
||||
from fastapi import APIRouter, HTTPException
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
from .models import (
|
||||
ConvertedTimeResponse,
|
||||
ConvertTimeInput,
|
||||
ElapsedTimeInput,
|
||||
ElapsedTimeResponse,
|
||||
ParsedTimestampResponse,
|
||||
ParseTimestampInput,
|
||||
TimeResponse,
|
||||
UnixToIsoInput,
|
||||
UnixToIsoResponse,
|
||||
)
|
||||
|
||||
|
||||
class TimeTool(BaseTool):
|
||||
"""Secure time utilities tool."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the time tool."""
|
||||
super().__init__(
|
||||
name="time",
|
||||
description="Provides secure UTC/local time retrieval and formatting",
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_current(timezone: str = "UTC") -> TimeResponse:
|
||||
"""Get current time in specified timezone (defaults to UTC).
|
||||
|
||||
Args:
|
||||
timezone: IANA timezone name (e.g. 'UTC', 'America/New_York')
|
||||
|
||||
Returns:
|
||||
TimeResponse: Current time in ISO format for specified timezone.
|
||||
|
||||
Raises:
|
||||
HTTPException: If timezone is invalid.
|
||||
"""
|
||||
try:
|
||||
tz = pytz.timezone(timezone)
|
||||
now = datetime.now(tz)
|
||||
return TimeResponse(utc=now.isoformat())
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid timezone: {e}") from e
|
||||
|
||||
@staticmethod
|
||||
def unix_to_iso(data: UnixToIsoInput) -> UnixToIsoResponse:
|
||||
"""Convert Unix epoch timestamp to ISO format.
|
||||
|
||||
Args:
|
||||
data: Unix timestamp and optional timezone
|
||||
|
||||
Returns:
|
||||
UnixToIsoResponse: ISO formatted timestamp.
|
||||
|
||||
Raises:
|
||||
HTTPException: If timestamp or timezone is invalid.
|
||||
"""
|
||||
try:
|
||||
dt = datetime.fromtimestamp(data.timestamp, tz=UTC)
|
||||
if data.timezone and data.timezone != "UTC":
|
||||
target_tz = pytz.timezone(data.timezone)
|
||||
dt = dt.astimezone(target_tz)
|
||||
return UnixToIsoResponse(iso_time=dt.isoformat())
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
status_code=400, detail=f"Invalid timestamp or timezone: {e}"
|
||||
) from e
|
||||
|
||||
@staticmethod
|
||||
def convert_time(data: ConvertTimeInput) -> ConvertedTimeResponse:
|
||||
"""Convert a timestamp from one timezone to another.
|
||||
|
||||
Returns:
|
||||
ConvertedTimeResponse: Timestamp converted to target timezone.
|
||||
|
||||
Raises:
|
||||
HTTPException: If timezone or timestamp is invalid.
|
||||
"""
|
||||
try:
|
||||
from_zone = pytz.timezone(data.from_tz)
|
||||
to_zone = pytz.timezone(data.to_tz)
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid timezone: {e}") from e
|
||||
|
||||
try:
|
||||
dt = dateutil_parser.parse(data.timestamp)
|
||||
dt = from_zone.localize(dt) if dt.tzinfo is None else dt.astimezone(from_zone)
|
||||
converted = dt.astimezone(to_zone)
|
||||
return ConvertedTimeResponse(converted_time=converted.isoformat())
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid timestamp: {e}") from e
|
||||
|
||||
@staticmethod
|
||||
def elapsed_time(data: ElapsedTimeInput) -> ElapsedTimeResponse:
|
||||
"""Calculate the difference between two timestamps in chosen units.
|
||||
|
||||
Returns:
|
||||
ElapsedTimeResponse: Time difference in specified units.
|
||||
|
||||
Raises:
|
||||
HTTPException: If timestamps are invalid.
|
||||
"""
|
||||
try:
|
||||
start_dt = dateutil_parser.parse(data.start)
|
||||
end_dt = dateutil_parser.parse(data.end)
|
||||
delta = end_dt - start_dt
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid timestamps: {e}") from e
|
||||
|
||||
seconds = delta.total_seconds()
|
||||
result = {
|
||||
"seconds": seconds,
|
||||
"minutes": seconds / 60,
|
||||
"hours": seconds / 3600,
|
||||
"days": seconds / 86400,
|
||||
}
|
||||
|
||||
return ElapsedTimeResponse(elapsed=result[data.units], unit=data.units)
|
||||
|
||||
@staticmethod
|
||||
def parse_timestamp(data: ParseTimestampInput) -> ParsedTimestampResponse:
|
||||
"""Parse human-friendly input timestamp and return standardized UTC ISO time.
|
||||
|
||||
Returns:
|
||||
ParsedTimestampResponse: Standardized UTC timestamp.
|
||||
|
||||
Raises:
|
||||
HTTPException: If timestamp cannot be parsed.
|
||||
"""
|
||||
try:
|
||||
tz = pytz.timezone(data.timezone)
|
||||
dt = dateutil_parser.parse(data.timestamp)
|
||||
if dt.tzinfo is None:
|
||||
dt = tz.localize(dt)
|
||||
dt_utc = dt.astimezone(pytz.utc)
|
||||
return ParsedTimestampResponse(utc=dt_utc.isoformat())
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=f"Could not parse: {e}") from e
|
||||
|
||||
@staticmethod
|
||||
def list_time_zones() -> list[str]:
|
||||
"""Return a list of all valid IANA time zones."""
|
||||
return list(pytz.all_timezones)
|
||||
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for time tool endpoints."""
|
||||
router = APIRouter()
|
||||
|
||||
@router.get(
|
||||
"/get_time",
|
||||
response_model=TimeResponse,
|
||||
summary="Get current time in specified IANA timezone (defaults to UTC)",
|
||||
)
|
||||
def get_time(timezone: str = "UTC") -> TimeResponse:
|
||||
return TimeTool.get_current(timezone)
|
||||
|
||||
@router.post(
|
||||
"/unix_to_iso",
|
||||
response_model=UnixToIsoResponse,
|
||||
summary="Convert Unix epoch timestamp to ISO format",
|
||||
)
|
||||
def unix_to_iso(data: UnixToIsoInput) -> UnixToIsoResponse:
|
||||
return TimeTool.unix_to_iso(data)
|
||||
|
||||
@router.post(
|
||||
"/convert_time",
|
||||
response_model=ConvertedTimeResponse,
|
||||
summary="Convert timestamp from one timezone to another",
|
||||
)
|
||||
def convert_time(data: ConvertTimeInput) -> ConvertedTimeResponse:
|
||||
return TimeTool.convert_time(data)
|
||||
|
||||
@router.post(
|
||||
"/elapsed_time",
|
||||
response_model=ElapsedTimeResponse,
|
||||
summary="Calculate time difference between two timestamps",
|
||||
)
|
||||
def elapsed_time(data: ElapsedTimeInput) -> ElapsedTimeResponse:
|
||||
return TimeTool.elapsed_time(data)
|
||||
|
||||
@router.post(
|
||||
"/parse_timestamp",
|
||||
response_model=ParsedTimestampResponse,
|
||||
summary=(
|
||||
"Parse flexible human-readable timestamps (e.g. 'June 1st 2024 3:30 PM', "
|
||||
"'tomorrow at noon', '2024-06-01 15:30') into standardized UTC ISO format"
|
||||
),
|
||||
)
|
||||
def parse_timestamp(data: ParseTimestampInput) -> ParsedTimestampResponse:
|
||||
return TimeTool.parse_timestamp(data)
|
||||
|
||||
@router.get("/list_time_zones", summary="Get list of all valid IANA timezone names")
|
||||
def list_time_zones() -> list[str]:
|
||||
return TimeTool.list_time_zones()
|
||||
|
||||
return router
|
||||
|
||||
|
||||
tool = TimeTool()
|
||||
3
openapi_mcp_server/tools/weather/__init__.py
Normal file
3
openapi_mcp_server/tools/weather/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Weather information tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
52
openapi_mcp_server/tools/weather/models.py
Normal file
52
openapi_mcp_server/tools/weather/models.py
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
"""Data models for weather information tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class CurrentWeather(BaseModel):
|
||||
"""Current weather conditions model."""
|
||||
|
||||
time: str = Field(..., description="ISO 8601 format timestamp")
|
||||
temperature_2m: float = Field(
|
||||
...,
|
||||
alias="temperature_2m",
|
||||
description="Air temperature at 2 meters above ground",
|
||||
)
|
||||
wind_speed_10m: float = Field(
|
||||
..., alias="wind_speed_10m", description="Wind speed at 10 meters above ground"
|
||||
)
|
||||
|
||||
|
||||
class HourlyUnits(BaseModel):
|
||||
"""Units for hourly weather data."""
|
||||
|
||||
time: str
|
||||
temperature_2m: str
|
||||
relative_humidity_2m: str
|
||||
wind_speed_10m: str
|
||||
|
||||
|
||||
class HourlyData(BaseModel):
|
||||
"""Hourly weather data model."""
|
||||
|
||||
time: list[str]
|
||||
temperature_2m: list[float]
|
||||
relative_humidity_2m: list[int]
|
||||
wind_speed_10m: list[float]
|
||||
|
||||
|
||||
class WeatherForecastOutput(BaseModel):
|
||||
"""Complete weather forecast output model."""
|
||||
|
||||
latitude: float
|
||||
longitude: float
|
||||
generationtime_ms: float
|
||||
utc_offset_seconds: int
|
||||
timezone: str
|
||||
timezone_abbreviation: str
|
||||
elevation: float
|
||||
current: CurrentWeather = Field(..., description="Current weather conditions")
|
||||
hourly_units: HourlyUnits
|
||||
hourly: HourlyData
|
||||
104
openapi_mcp_server/tools/weather/routes.py
Normal file
104
openapi_mcp_server/tools/weather/routes.py
Normal file
|
|
@ -0,0 +1,104 @@
|
|||
"""API routes for weather information tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Annotated
|
||||
|
||||
import requests
|
||||
import reverse_geocoder as rg
|
||||
from fastapi import APIRouter, HTTPException, Query
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
from .models import WeatherForecastOutput
|
||||
|
||||
OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
|
||||
FAHRENHEIT_COUNTRIES = {"US", "LR", "MM"}
|
||||
|
||||
|
||||
class WeatherTool(BaseTool):
|
||||
"""Weather forecast tool using Open-Meteo API."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the weather tool."""
|
||||
super().__init__(
|
||||
name="weather",
|
||||
description="Provides weather retrieval by latitude and longitude using Open-Meteo",
|
||||
)
|
||||
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for weather tool endpoints."""
|
||||
router = APIRouter()
|
||||
|
||||
@router.get(
|
||||
"/forecast",
|
||||
response_model=WeatherForecastOutput,
|
||||
summary="Get current weather conditions and hourly forecast by coordinates",
|
||||
)
|
||||
def forecast(
|
||||
latitude: Annotated[
|
||||
float | None, Query(description="Latitude for the location (e.g. 52.52)")
|
||||
] = None,
|
||||
longitude: Annotated[
|
||||
float | None, Query(description="Longitude for the location (e.g. 13.41)")
|
||||
] = None,
|
||||
) -> WeatherForecastOutput:
|
||||
"""Retrieves current weather conditions and hourly forecast for the given coordinates.
|
||||
|
||||
Temperature unit (Celsius/Fahrenheit) is determined automatically based on location.
|
||||
|
||||
Returns:
|
||||
WeatherForecastOutput: Current weather conditions and forecast data.
|
||||
|
||||
Raises:
|
||||
HTTPException: If weather API request fails or returns invalid data.
|
||||
"""
|
||||
if latitude is None or longitude is None:
|
||||
raise HTTPException(status_code=422, detail="Latitude and longitude are required.")
|
||||
# Determine temperature unit based on location
|
||||
try:
|
||||
geo_results = rg.search((latitude, longitude), mode=1)
|
||||
if geo_results:
|
||||
country_code = geo_results[0]["cc"]
|
||||
temperature_unit = (
|
||||
"fahrenheit" if country_code in FAHRENHEIT_COUNTRIES else "celsius"
|
||||
)
|
||||
else:
|
||||
temperature_unit = "celsius"
|
||||
except Exception:
|
||||
temperature_unit = "celsius"
|
||||
|
||||
params = {
|
||||
"latitude": latitude,
|
||||
"longitude": longitude,
|
||||
"current": "temperature_2m,wind_speed_10m",
|
||||
"hourly": "temperature_2m,relative_humidity_2m,wind_speed_10m",
|
||||
"timezone": "auto",
|
||||
"temperature_unit": temperature_unit,
|
||||
}
|
||||
|
||||
try:
|
||||
response = requests.get(OPEN_METEO_URL, params=params, timeout=30)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
|
||||
if "current" not in data or "hourly" not in data:
|
||||
raise HTTPException(
|
||||
status_code=500, detail="Unexpected response format from Open-Meteo API"
|
||||
)
|
||||
|
||||
return WeatherForecastOutput(**data)
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
raise HTTPException(
|
||||
status_code=503, detail=f"Error connecting to Open-Meteo API: {e}"
|
||||
) from e
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
status_code=500, detail=f"An internal error occurred: {e}"
|
||||
) from e
|
||||
|
||||
return router
|
||||
|
||||
|
||||
tool = WeatherTool()
|
||||
3
openapi_mcp_server/tools/web/__init__.py
Normal file
3
openapi_mcp_server/tools/web/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
"""Web content parsing tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
36
openapi_mcp_server/tools/web/models.py
Normal file
36
openapi_mcp_server/tools/web/models.py
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
"""Data models for web content parsing tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pydantic import BaseModel, Field, HttpUrl
|
||||
|
||||
|
||||
class WebRequest(BaseModel):
|
||||
"""Request model for web content parsing."""
|
||||
|
||||
url: HttpUrl = Field(..., description="URL to parse and extract content from")
|
||||
favor_recall: bool | None = Field(True, description="Favor recall over precision in extraction")
|
||||
with_metadata: bool | None = Field(True, description="Include metadata in extraction")
|
||||
include_formatting: bool | None = Field(True, description="Keep formatting in output")
|
||||
include_images: bool | None = Field(True, description="Include images in output")
|
||||
include_links: bool | None = Field(True, description="Include links in output")
|
||||
include_tables: bool | None = Field(True, description="Include tables in output")
|
||||
|
||||
|
||||
class WebResponse(BaseModel):
|
||||
"""Response model for parsed web content."""
|
||||
|
||||
url: str = Field(..., description="Original URL that was parsed")
|
||||
content: str = Field(
|
||||
...,
|
||||
description="Extracted content in Markdown format with metadata frontmatter",
|
||||
)
|
||||
|
||||
|
||||
class WebRawResponse(BaseModel):
|
||||
"""Response model for raw web content."""
|
||||
|
||||
url: str = Field(..., description="Original URL that was fetched")
|
||||
status_code: int = Field(..., description="HTTP status code")
|
||||
headers: dict[str, str] = Field(..., description="Response headers")
|
||||
content: str = Field(..., description="Raw HTML content")
|
||||
153
openapi_mcp_server/tools/web/routes.py
Normal file
153
openapi_mcp_server/tools/web/routes.py
Normal file
|
|
@ -0,0 +1,153 @@
|
|||
"""API routes for web content parsing tool."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Annotated
|
||||
|
||||
import requests
|
||||
import trafilatura
|
||||
from fastapi import APIRouter, HTTPException, Query
|
||||
from pydantic import HttpUrl # noqa: TC002
|
||||
|
||||
from openapi_mcp_server.tools.base import BaseTool
|
||||
|
||||
from .models import WebRawResponse, WebRequest, WebResponse
|
||||
|
||||
|
||||
class WebTool(BaseTool):
|
||||
"""Web content parsing tool."""
|
||||
|
||||
def __init__(self) -> None:
|
||||
"""Initialize the web tool."""
|
||||
super().__init__(
|
||||
name="web",
|
||||
description="Extract and parse web page content into Markdown using trafilatura",
|
||||
)
|
||||
|
||||
def get_router(self) -> APIRouter:
|
||||
"""Return the FastAPI router for web tool endpoints."""
|
||||
router = APIRouter()
|
||||
|
||||
@router.post(
|
||||
"/web_read",
|
||||
response_model=WebResponse,
|
||||
summary="Extract and parse webpage content into clean markdown",
|
||||
)
|
||||
def read(request: WebRequest) -> WebResponse:
|
||||
"""Extract and parse webpage content into clean markdown.
|
||||
|
||||
Returns:
|
||||
WebResponse: Parsed web content.
|
||||
"""
|
||||
return WebTool._parse_web_page(
|
||||
str(request.url),
|
||||
request.with_metadata,
|
||||
request.include_formatting,
|
||||
request.include_images,
|
||||
request.include_links,
|
||||
request.include_tables,
|
||||
)
|
||||
|
||||
@router.get(
|
||||
"/web_raw",
|
||||
response_model=WebRawResponse,
|
||||
summary="Fetch raw HTML content and headers from any URL",
|
||||
)
|
||||
def raw(
|
||||
url: Annotated[
|
||||
HttpUrl | None, Query(description="URL to fetch raw content and headers from")
|
||||
] = None,
|
||||
) -> WebRawResponse:
|
||||
"""Fetch raw HTML content and headers from URL.
|
||||
|
||||
Returns:
|
||||
WebRawResponse: Raw HTML content and headers.
|
||||
|
||||
Raises:
|
||||
HTTPException: If request fails or URL is invalid.
|
||||
"""
|
||||
if not url:
|
||||
raise HTTPException(status_code=422, detail="URL query parameter is required.")
|
||||
|
||||
try:
|
||||
response = requests.get(str(url), timeout=30)
|
||||
response.raise_for_status()
|
||||
|
||||
headers = dict(response.headers)
|
||||
|
||||
return WebRawResponse(
|
||||
url=str(url),
|
||||
status_code=response.status_code,
|
||||
headers=headers,
|
||||
content=response.text,
|
||||
)
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
raise HTTPException(
|
||||
status_code=503,
|
||||
detail=f"Unable to fetch content from URL: {e!s}",
|
||||
) from e
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
status_code=500, detail=f"Error fetching raw content: {e!s}"
|
||||
) from e
|
||||
|
||||
return router
|
||||
|
||||
@staticmethod
|
||||
def _parse_web_page(
|
||||
url: str,
|
||||
with_metadata: bool = True,
|
||||
include_formatting: bool = True,
|
||||
include_images: bool = True,
|
||||
include_links: bool = True,
|
||||
include_tables: bool = True,
|
||||
) -> WebResponse:
|
||||
"""Internal function to perform the actual web page parsing.
|
||||
|
||||
Returns:
|
||||
WebResponse: Parsed web content.
|
||||
|
||||
Raises:
|
||||
HTTPException: If parsing fails or URL is invalid.
|
||||
"""
|
||||
try:
|
||||
downloaded = trafilatura.fetch_url(url)
|
||||
if not downloaded:
|
||||
raise HTTPException(
|
||||
status_code=404, detail=f"Unable to fetch content from URL: {url}"
|
||||
)
|
||||
|
||||
config = trafilatura.settings.use_config()
|
||||
config.set("DEFAULT", "EXTRACTION_TIMEOUT", "30")
|
||||
|
||||
extracted_content = trafilatura.extract(
|
||||
downloaded,
|
||||
output_format="markdown",
|
||||
favor_recall=True,
|
||||
with_metadata=with_metadata,
|
||||
include_formatting=include_formatting,
|
||||
include_images=include_images,
|
||||
include_links=include_links,
|
||||
include_tables=include_tables,
|
||||
config=config,
|
||||
)
|
||||
|
||||
if not extracted_content:
|
||||
raise HTTPException(
|
||||
status_code=422, detail=f"Unable to extract content from URL: {url}"
|
||||
)
|
||||
|
||||
return WebResponse(
|
||||
url=url,
|
||||
content=extracted_content,
|
||||
)
|
||||
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=f"Error parsing web page: {e!s}") from e
|
||||
|
||||
|
||||
# Create the tool instance that will be discovered by the registry
|
||||
tool = WebTool()
|
||||
94
pyproject.toml
Normal file
94
pyproject.toml
Normal file
|
|
@ -0,0 +1,94 @@
|
|||
[project]
|
||||
name = "openapi-mcp-server"
|
||||
version = "0.1.0"
|
||||
description = "An OpenAPI-compatible server for the Multi-agent Conversation Platform (MCP)."
|
||||
readme = "README.md"
|
||||
license = { text = "MIT" }
|
||||
authors = [{ name = "Tom Foster", email = "tom@tcpip.uk" }]
|
||||
maintainers = [{ name = "Tom Foster", email = "tom@tcpip.uk" }]
|
||||
requires-python = ">=3.13"
|
||||
classifiers = [
|
||||
"Development Status :: 4 - Beta",
|
||||
"License :: OSI Approved :: MIT License",
|
||||
"Topic :: Communications :: Chat",
|
||||
"Framework :: AsyncIO",
|
||||
"Programming Language :: Python",
|
||||
"Programming Language :: Python :: 3",
|
||||
"Programming Language :: Python :: 3.13",
|
||||
]
|
||||
dependencies = [
|
||||
"fastapi>=0",
|
||||
"pydantic>=2",
|
||||
"pydantic-settings>=2",
|
||||
"python-dateutil>=2",
|
||||
"python-multipart>=0",
|
||||
"pytz>=2025",
|
||||
"requests>=2",
|
||||
"reverse-geocoder>=1",
|
||||
"trafilatura>=2",
|
||||
"uvicorn[standard]>=0",
|
||||
]
|
||||
|
||||
[project.urls]
|
||||
Homepage = "https://git.tomfos.tr/tom/openapi-mcp-server"
|
||||
|
||||
[dependency-groups]
|
||||
dev = ["ruff>=0"]
|
||||
|
||||
[tool.uv]
|
||||
package = true
|
||||
|
||||
[build-system]
|
||||
requires = ["setuptools>=61.0"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[project.scripts]
|
||||
openapi-mcp-server = "openapi_mcp_server.__main__:launch"
|
||||
|
||||
[tool.setuptools]
|
||||
packages = { find = {} }
|
||||
|
||||
[tool.ruff]
|
||||
cache-dir = "/tmp/.ruff_cache"
|
||||
fix = true
|
||||
line-length = 100
|
||||
preview = true
|
||||
show-fixes = false
|
||||
target-version = "py313"
|
||||
unsafe-fixes = true
|
||||
|
||||
[tool.ruff.format]
|
||||
line-ending = "auto"
|
||||
skip-magic-trailing-comma = false
|
||||
|
||||
[tool.ruff.lint]
|
||||
fixable = ["ALL"]
|
||||
ignore = [
|
||||
"ANN401", # use of Any type
|
||||
"BLE001", # blind Exception usage
|
||||
"COM812", # missing trailing comma
|
||||
"CPY", # flake8-copyright
|
||||
"FBT", # boolean arguments
|
||||
"PLR0912", # too many branches
|
||||
"PLR0913", # too many arguments
|
||||
"PLR0915", # too many statements
|
||||
"PLR0917", # too many positional arguments
|
||||
"PLR6301", # method could be static
|
||||
"RUF029", # async methods that don't await
|
||||
"S104", # binding to all interfaces
|
||||
"S110", # passed exceptions
|
||||
"TRY301", # raise inside try block
|
||||
]
|
||||
select = ["ALL"]
|
||||
unfixable = [
|
||||
"F841", # local variable assigned but never used
|
||||
"RUF100", # unused noqa comments
|
||||
"T201", # don't strip print statement
|
||||
]
|
||||
|
||||
[tool.ruff.lint.isort]
|
||||
combine-as-imports = true
|
||||
required-imports = ["from __future__ import annotations"]
|
||||
|
||||
[tool.ruff.lint.pydocstyle]
|
||||
convention = "google"
|
||||
736
uv.lock
generated
Normal file
736
uv.lock
generated
Normal file
|
|
@ -0,0 +1,736 @@
|
|||
version = 1
|
||||
revision = 2
|
||||
requires-python = ">=3.13"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.9.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
{ name = "sniffio" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "babel"
|
||||
version = "2.17.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" }
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||||
wheels = [
|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2025.6.15"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
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||||
wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367, upload-time = "2025-05-02T08:34:42.01Z" }
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||||
wheels = [
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/92/08/95b458ce9c740d0645feb0e96cea1f5ec946ea9c580a94adfe0b617f3573/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b", size = 154174, upload-time = "2025-05-02T08:33:13.707Z" },
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||||
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||||
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||||
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|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "click"
|
||||
version = "8.2.1"
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Loading…
Add table
Add a link
Reference in a new issue