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parent 4849c559dc
commit 23d8a466fc
39 changed files with 2845 additions and 3 deletions

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.forgejo/workflows/ci.yml Normal file
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name: CI
on:
push:
branches: [main, dev]
pull_request:
branches: [main]
jobs:
build-and-push:
name: Build and push Docker image
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout code
uses: https://github.com/actions/checkout@v4
- name: Set up Docker Buildx
uses: https://github.com/docker/setup-buildx-action@v3
- name: Log in to Forgejo Container Registry
uses: https://github.com/docker/login-action@v3
with:
registry: git.tomfos.tr
username: ${{ gitea.repository_owner }}
password: ${{ secrets.FORGEJO_TOKEN }}
- name: Determine image metadata
id: meta
uses: https://github.com/docker/metadata-action@v5
with:
images: git.tomfos.tr/${{ gitea.repository }}
tags: |
type=ref,event=branch,if=ref==refs/heads/main,format=latest
type=ref,event=branch,format={{ref_name}}
- name: Build and push Docker image
uses: https://github.com/docker/build-push-action@v6
with:
context: .
file: ./Dockerfile
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=registry,ref=git.tomfos.tr/${{ gitea.repository }}:build-cache
cache-to: type=registry,ref=git.tomfos.tr/${{ gitea.repository }}:build-cache,mode=max

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@ -161,4 +161,3 @@ cython_debug/
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

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Dockerfile Normal file
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# Build stage using uv with a frozen lockfile and dependency caching
FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS uv
WORKDIR /app
# Enable bytecode compilation and copy mode
ENV UV_COMPILE_BYTECODE=1 \
UV_LINK_MODE=copy
# Install dependencies using the lockfile
COPY pyproject.toml uv.lock ./
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable --no-install-project
# Install the project in a second layer
COPY . .
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
# Prepare runtime image
FROM python:3.13-slim-bookworm AS runtime
WORKDIR /app
# Install minimal system dependencies and create runtime user
RUN apt-get update && apt-get install -y curl \
&& rm -rf /var/lib/apt/lists/* \
&& groupadd -g 1000 omcps \
&& useradd -u 1000 -g 1000 -m omcps \
&& mkdir -p /data \
&& touch /data/memory.json \
&& chown -R 1000:1000 /data
# Copy only the virtual environment from the build stage
COPY --from=uv /app/.venv /app/.venv
# Switch to non-root user
USER omcps
# Set environment variables for runtime
ENV PATH="/app/.venv/bin:$PATH" \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
MEMORY_FILE_PATH="/data/memory.json"
# Use wrapper script to handle startup
ENTRYPOINT ["uvicorn", "openapi_mcp_server.server:create_app", "--factory", "--host", "0.0.0.0", "--port", "80"]
HEALTHCHECK --interval=30s --timeout=10s --retries=3 CMD curl -f http://localhost/health || exit 1

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# openapi-mcp-server
# OpenAPI MCP Server
MCP server to provide OpenAPI-flavour tools to an Open WebUI instance
A unified OpenAPI-compatible server for the Multi-agent Conversation Platform (MCP) that provides
various tools for Open WebUI integration. This single server exposes multiple tools through FastAPI
endpoints with full OpenAPI documentation.
## Features
The server provides the following tool endpoints:
- **[Web Content Parsing](docs/web.md)** (`/web`) - Extract and parse web content using trafilatura
- **[Memory/Storage](docs/memory.md)** (`/memory`) - Structured knowledge graph memory system
- **[Time Operations](docs/time.md)** (`/time`) - Time utilities and timezone operations
- **[Weather Information](docs/weather.md)** (`/weather`) - Real-time weather data and forecasts
- **[Search](docs/searxng.md)** (`/searxng`) - Web search through SearXNG instances
Each tool provides detailed endpoint documentation - click the links above to learn about specific
endpoints and their capabilities.
## Quick Start
### Using Docker Compose (Recommended)
```bash
# Clone the repository
git clone <repository-url>
cd openapi-mcp-server
# Start the server
docker-compose up --build
# The server will be available at http://localhost:8080
# OpenAPI documentation at http://localhost:8080/docs
```
### Local Development
```bash
# Install dependencies using uv
uv sync
# Run the development server
uv run openapi-mcp-server
# The server will start on the default port with auto-reload
```
## API Documentation
Once running, visit `/docs` for the interactive OpenAPI documentation where you can explore and test
all available endpoints.
## Configuration
The server can be configured through environment variables:
- `MEMORY_FILE_PATH` - Path to the memory storage file (default: `/data/memory.json`)
- Additional tool-specific configuration options are documented in the individual tool modules
## Architecture
This project follows a unified single-server architecture:
- **Single FastAPI application** serving multiple tool endpoints
- **Modular tool design** with individual tools in `openapi_mcp_server/tools/`
- **OpenAPI compliance** with full documentation and validation
- **Docker-ready** with optimized multi-stage builds
- **uv package management** for fast, reliable dependency handling

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services:
tools:
build:
context: .
dockerfile: Dockerfile
environment:
- MEMORY_FILE_PATH=/data/memory.json
- SEARXNG_BASE_URL=http://searxng:8080
image: git.tomfos.tr/tom/openapi-mcp-server:latest
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost/health"]
interval: 30s
timeout: 10s
retries: 3
ports:
- "8080:80"
restart: unless-stopped
volumes:
- ./data:/data:rw

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# Memory Tool
A structured knowledge graph memory system that provides persistent storage for entities,
relationships, and observations.
## Overview
The Memory tool provides a comprehensive knowledge graph system within the OpenAPI MCP Server
framework. It allows you to store entities (people, places, concepts), create relationships between
them, and add observations or facts about each entity.
## Endpoints
| Method | Endpoint | Description |
|--------|----------|-------------|
| `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. |
| `POST` | `/memory/create_relations` | Connect entities with srelationships (works_at, lives_in, knows, etc). Creates typed relationships between existing entities. |
| `POST` | `/memory/add_observations` | Add new facts or observations to entities you've already stored. Extends existing entity knowledge without duplication. |
| `POST` | `/memory/delete_entities` | Remove entities and all their connections from memory. Cleans up both the entity and any relationships involving it. |
| `POST` | `/memory/delete_observations` | Remove specific facts or observations from entities. Allows selective cleanup of entity information. |
| `POST` | `/memory/delete_relations` | Remove specific relationships between entities. Maintains entities while removing their connections. |
| `GET` | `/memory/read_graph` | Retrieve all stored entities and relationships from memory. Returns the complete knowledge graph. |
| `POST` | `/memory/search_nodes` | Find entities by searching names, types, or observations. Performs fuzzy search across all entity data. |
| `POST` | `/memory/open_nodes` | Retrieve specific entities and their connections by exact name. Returns requested entities with their relationships. |
## Key Features
- **Knowledge Graph Structure**: Entities connected by typed relationships
- **Flexible Entity Types**: Store people, places, concepts, or any custom entity types
- **Rich Observations**: Each entity can have multiple observations or facts
- **Relationship Management**: Create, query, and delete relationships between entities
- **Search Capabilities**: Find entities by name, type, or observation content
- **Persistent Storage**: All data persisted to file system with atomic operations
- **Duplicate Prevention**: Automatic deduplication of entities and relationships
## Data Model
- **Entity**: Has name, entity_type, and list of observations
- **Relationship**: Connects two entities with a relationship type (from, to, relation_type)
- **Knowledge Graph**: Collection of entities and their relationships
## Usage
The Memory tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
available under the `/memory` prefix when the server is running. Visit `/docs` for interactive API
documentation.

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# SearXNG Tool
A search proxy tool that provides search functionality through SearXNG search instances with OpenAPI
compatibility.
## Overview
The SearXNG tool acts as a proxy server for SearXNG search instances, providing search capabilities
within the OpenAPI MCP Server framework. It offers a standardized API interface for performing web
searches across multiple search engines through SearXNG.
## Endpoints
| Method | Endpoint | Description |
|--------|----------|-------------|
| `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. |
| `GET` | `/searxng/categories` | Get available search categories (general, images, news, etc). Returns list of categories that can be used to filter search results. |
| `GET` | `/searxng/engines` | Get list of available search engines (Google, Bing, DuckDuckGo, etc). Returns engines that can be specified for targeted searches. |
## Key Features
- **Multi-Engine Search**: Search across multiple search engines simultaneously
- **Category Filtering**: Filter results by category (general, images, videos, news, etc.)
- **Engine Selection**: Choose specific search engines for targeted results
- **Structured Results**: Returns clean, structured search results with titles, URLs, and snippets
- **Metadata Rich**: Includes search metadata like result count, suggestions, and engine info
- **Pagination Support**: Navigate through multiple pages of search results
- **Language Support**: Search in specific languages with language parameter
## Configuration
Configure the target SearXNG instance using the `SEARXNG_BASE_URL` environment variable:
- **Default**: `http://localhost:8080`
- **Custom**: Set `SEARXNG_BASE_URL=https://your-searxng-instance.com`
## Search Parameters
- **query**: Search terms (required)
- **categories**: Comma-separated category filters (optional)
- **engines**: Comma-separated engine selection (optional)
- **language**: Language code (default: "en")
- **format**: Response format (default: "json")
- **pageno**: Page number for pagination (default: 1)
## Usage
The SearXNG tool is automatically loaded by the OpenAPI MCP Server framework. All endpoints are
available under the `/searxng` prefix when the server is running. Visit `/docs` for interactive API
documentation.
## Dependencies
Requires a running SearXNG instance. SearXNG is a free, open-source metasearch engine that aggregates
results from multiple search engines without tracking users.

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# Time Tool
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
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. |
| `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). |
| `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. |
| `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
- **Unix Compatibility**: Convert Unix epoch timestamps to readable ISO format
- **Time Calculations**: Calculate elapsed time between any two timestamps
- **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.

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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.

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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.

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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)."

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"""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()

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"""Core components for the OpenAPI MCP Server."""
from __future__ import annotations

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"""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()

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"""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,
)

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"""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()

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"""Shared data models for the OpenAPI MCP Server."""
from __future__ import annotations

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"""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")

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"""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

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"""Tool implementations for the OpenAPI MCP Server."""
from __future__ import annotations

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"""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}

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"""Memory/storage functionality tool."""
from __future__ import annotations

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"""Data models for memory/storage tool."""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field
class Entity(BaseModel):
"""Entity model for knowledge graph."""
name: str = Field(..., description="The name of the entity")
entity_type: str = Field(..., description="The type of the entity")
observations: list[str] = Field(
..., description="An array of observation contents associated with the entity"
)
class Relation(BaseModel):
"""Relation model for knowledge graph."""
from_: str = Field(
...,
alias="from",
description="The name of the entity where the relation starts",
)
to: str = Field(..., description="The name of the entity where the relation ends")
relation_type: str = Field(..., description="The type of the relation")
class KnowledgeGraph(BaseModel):
"""Knowledge graph containing entities and relations."""
entities: list[Entity]
relations: list[Relation]
class EntityWrapper(BaseModel):
"""Wrapper for entity data."""
type: Literal["entity"]
name: str
entity_type: str
observations: list[str]
class RelationWrapper(BaseModel):
"""Wrapper for relation data."""
type: Literal["relation"]
from_: str = Field(..., alias="from")
to: str
relation_type: str
class CreateEntitiesRequest(BaseModel):
"""Request model for creating entities."""
entities: list[Entity] = Field(..., description="List of entities to create")
class CreateRelationsRequest(BaseModel):
"""Request model for creating relations."""
relations: list[Relation] = Field(
..., description="List of relations to create. All must be in active voice."
)
class ObservationItem(BaseModel):
"""Item for adding observations."""
entity_name: str = Field(..., description="The name of the entity to add the observations to")
contents: list[str] = Field(..., description="An array of observation contents to add")
class DeletionItem(BaseModel):
"""Item for deleting observations."""
entity_name: str = Field(..., description="The name of the entity containing the observations")
observations: list[str] = Field(..., description="An array of observations to delete")
class AddObservationsRequest(BaseModel):
"""Request model for adding observations."""
observations: list[ObservationItem] = Field(
...,
description=(
"A list of observation additions, each specifying an entity and contents to add"
),
)
class DeleteObservationsRequest(BaseModel):
"""Request model for deleting observations."""
deletions: list[DeletionItem] = Field(
...,
description=(
"A list of observation deletions, each specifying an entity and observations to remove"
),
)
class DeleteEntitiesRequest(BaseModel):
"""Request model for deleting entities."""
entity_names: list[str] = Field(..., description="An array of entity names to delete")
class DeleteRelationsRequest(BaseModel):
"""Request model for deleting relations."""
relations: list[Relation] = Field(..., description="An array of relations to delete")
class SearchNodesRequest(BaseModel):
"""Request model for searching nodes."""
query: str = Field(
...,
description=(
"The search query to match against entity names, types, and observation content"
),
)
class OpenNodesRequest(BaseModel):
"""Request model for opening specific nodes."""
names: list[str] = Field(..., description="An array of entity names to retrieve")

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"""API routes for memory/storage tool."""
from __future__ import annotations
from fastapi import APIRouter, HTTPException
from openapi_mcp_server.tools.base import BaseTool
from .models import (
AddObservationsRequest,
CreateEntitiesRequest,
CreateRelationsRequest,
DeleteEntitiesRequest,
DeleteObservationsRequest,
DeleteRelationsRequest,
Entity,
KnowledgeGraph,
OpenNodesRequest,
Relation,
SearchNodesRequest,
)
from .storage import read_graph_file, save_graph
class MemoryTool(BaseTool):
"""Knowledge graph memory system tool."""
def __init__(self) -> None:
"""Initialize the memory tool."""
super().__init__(
name="memory",
description="A structured knowledge graph memory system",
)
@staticmethod
def create_entities(req: CreateEntitiesRequest) -> list[Entity]:
"""Create multiple entities in the graph.
Returns:
list: List of newly created entities.
"""
graph = read_graph_file()
existing_names = {e.name for e in graph.entities}
new_entities = [e for e in req.entities if e.name not in existing_names]
graph.entities.extend(new_entities)
save_graph(graph)
return new_entities
@staticmethod
def create_relations(req: CreateRelationsRequest) -> list[Relation]:
"""Create multiple relations between entities.
Returns:
list: List of newly created relations.
"""
graph = read_graph_file()
existing = {(r.from_, r.to, r.relation_type) for r in graph.relations}
new = [r for r in req.relations if (r.from_, r.to, r.relation_type) not in existing]
graph.relations.extend(new)
save_graph(graph)
return new
@staticmethod
def add_observations(req: AddObservationsRequest) -> list[dict[str, str | list[str]]]:
"""Add new observations to existing entities.
Returns:
list: List of entities with their added observations.
Raises:
HTTPException: If entity is not found.
"""
graph = read_graph_file()
results = []
for obs in req.observations:
name = obs.entity_name.lower()
contents = obs.contents
entity = next((e for e in graph.entities if e.name == name), None)
if not entity:
raise HTTPException(status_code=404, detail=f"Entity {name} not found")
added = [c for c in contents if c not in entity.observations]
entity.observations.extend(added)
results.append({"entity_name": name, "added_observations": added})
save_graph(graph)
return results
@staticmethod
def delete_entities(req: DeleteEntitiesRequest) -> dict[str, str]:
"""Delete entities and associated relations.
Returns:
dict: Success message indicating entities were deleted.
"""
graph = read_graph_file()
graph.entities = [e for e in graph.entities if e.name not in req.entity_names]
graph.relations = [
r
for r in graph.relations
if r.from_ not in req.entity_names and r.to not in req.entity_names
]
save_graph(graph)
return {"message": "Entities deleted successfully"}
@staticmethod
def delete_observations(req: DeleteObservationsRequest) -> dict[str, str]:
"""Delete specific observations from entities.
Returns:
dict: Success message indicating observations were deleted.
"""
graph = read_graph_file()
for deletion in req.deletions:
name = deletion.entity_name.lower()
to_delete = deletion.observations
entity = next((e for e in graph.entities if e.name == name), None)
if entity:
entity.observations = [obs for obs in entity.observations if obs not in to_delete]
save_graph(graph)
return {"message": "Observations deleted successfully"}
@staticmethod
def delete_relations(req: DeleteRelationsRequest) -> dict[str, str]:
"""Delete relations from the graph.
Returns:
dict: Success message indicating relations were deleted.
"""
graph = read_graph_file()
del_set = {(r.from_, r.to, r.relation_type) for r in req.relations}
graph.relations = [
r for r in graph.relations if (r.from_, r.to, r.relation_type) not in del_set
]
save_graph(graph)
return {"message": "Relations deleted successfully"}
@staticmethod
def read_graph() -> KnowledgeGraph:
"""Read entire knowledge graph.
Returns:
KnowledgeGraph: The complete knowledge graph.
"""
return read_graph_file()
@staticmethod
def search_nodes(req: SearchNodesRequest) -> KnowledgeGraph:
"""Search for nodes by keyword.
Returns:
KnowledgeGraph: Filtered knowledge graph containing matching entities.
"""
graph = read_graph_file()
entities = [
e
for e in graph.entities
if req.query.lower() in e.name.lower()
or req.query.lower() in e.entity_type.lower()
or any(req.query.lower() in o.lower() for o in e.observations)
]
names = {e.name for e in entities}
relations = [r for r in graph.relations if r.from_ in names and r.to in names]
return KnowledgeGraph(entities=entities, relations=relations)
@staticmethod
def open_nodes(req: OpenNodesRequest) -> KnowledgeGraph:
"""Open specific nodes by name.
Returns:
KnowledgeGraph: Knowledge graph containing requested entities and their relations.
"""
graph = read_graph_file()
entities = [e for e in graph.entities if e.name in req.names]
names = {e.name for e in entities}
relations = [r for r in graph.relations if r.from_ in names and r.to in names]
return KnowledgeGraph(entities=entities, relations=relations)
def get_router(self) -> APIRouter:
"""Return the FastAPI router for memory tool endpoints."""
router = APIRouter()
router.add_api_route(
"/create_entities",
MemoryTool.create_entities,
methods=["POST"],
summary="Store new entities (people, places, concepts) with their properties and observations",
)
router.add_api_route(
"/create_relations",
MemoryTool.create_relations,
methods=["POST"],
summary="Connect entities with relationships (works_at, lives_in, knows, etc.)",
)
router.add_api_route(
"/add_observations",
MemoryTool.add_observations,
methods=["POST"],
summary="Add new facts or observations to entities you've already stored",
)
router.add_api_route(
"/delete_entities",
MemoryTool.delete_entities,
methods=["POST"],
summary="Remove entities and all their connections from memory",
)
router.add_api_route(
"/delete_observations",
MemoryTool.delete_observations,
methods=["POST"],
summary="Remove specific facts or observations from entities",
)
router.add_api_route(
"/delete_relations",
MemoryTool.delete_relations,
methods=["POST"],
summary="Remove specific relationships between entities",
)
router.add_api_route(
"/read_graph",
MemoryTool.read_graph,
methods=["GET"],
response_model=KnowledgeGraph,
summary="Retrieve all stored entities and relationships from memory",
)
router.add_api_route(
"/search_nodes",
MemoryTool.search_nodes,
methods=["POST"],
response_model=KnowledgeGraph,
summary="Find entities by searching names, types, or observations",
)
router.add_api_route(
"/open_nodes",
MemoryTool.open_nodes,
methods=["POST"],
response_model=KnowledgeGraph,
summary="Retrieve specific entities and their connections by exact name",
)
return router
tool = MemoryTool()

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"""Storage implementation for memory tool."""
from __future__ import annotations
import json
import os
from pathlib import Path
from fastapi import HTTPException
from .models import Entity, KnowledgeGraph, Relation
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_graph_file() -> KnowledgeGraph:
"""Read the knowledge graph from file.
Returns:
KnowledgeGraph: The knowledge graph loaded from storage.
Raises:
HTTPException: If the memory file is not found or permission is denied.
"""
if not MEMORY_FILE_PATH.exists():
return KnowledgeGraph(entities=[], relations=[])
try:
with MEMORY_FILE_PATH.open(encoding="utf-8") as f:
lines = [line for line in f if line.strip()]
entities = []
relations = []
for line in lines:
item = json.loads(line)
if item["type"] == "entity":
entities.append(
Entity(
name=item["name"],
entity_type=item["entity_type"],
observations=item["observations"],
)
)
elif item["type"] == "relation":
relations.append(Relation(**item))
return KnowledgeGraph(entities=entities, relations=relations)
except PermissionError as e:
raise HTTPException(
status_code=500,
detail=f"Permission denied when reading memory file: {MEMORY_FILE_PATH}",
) from e
def save_graph(graph: KnowledgeGraph) -> None:
"""Save the knowledge graph to file.
Raises:
HTTPException: If the memory file is not found or permission is denied.
"""
lines = [json.dumps({"type": "entity", **e.model_dump()}) for e in graph.entities] + [
json.dumps({"type": "relation", **r.model_dump(by_alias=True)}) for r in graph.relations
]
try:
MEMORY_FILE_PATH.write_text("\n".join(lines), encoding="utf-8")
except PermissionError as e:
raise HTTPException(
status_code=500,
detail=f"Permission denied when writing to memory file: {MEMORY_FILE_PATH}",
) from e

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"""Search functionality via SearXNG."""
from __future__ import annotations

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"""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")

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"""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=list(categories.keys()) if categories else [])
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()

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"""Time-related operations tool."""
from __future__ import annotations

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"""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")

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"""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()

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"""Weather information tool."""
from __future__ import annotations

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"""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

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"""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()

View file

@ -0,0 +1,3 @@
"""Web content parsing tool."""
from __future__ import annotations

View 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")

View 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
View 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
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View file

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