UK Weather MCP Server

A Model Context Protocol (MCP) server that provides access to UK Met Office Weather DataHub API, enabling LLMs to fetch real-time weather forecasts for any global location.

Features

• Hourly Forecasts: Detailed weather data for up to 48 hours ahead

• 3-Hourly Forecasts: Medium-term forecasts for up to 7 days with 3-hour intervals

• Daily Forecasts: Daily summaries for up to 7 days ahead

• Dual Output Formats: Markdown for human readability, JSON for programmatic processing

• Global Coverage: Weather data for any location worldwide

• Comprehensive Data: Temperature, wind, precipitation, humidity, pressure, UV index, and more

Related MCP server: weather_mcp_server

Installation

Prerequisites

• Python 3.10 or higher

• uv package manager

• UK Met Office DataHub API key (get one at https://datahub.metoffice.gov.uk/)

Setup

1. Install uv if you haven't already:

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone or download this repository and navigate to it:

cd uk-weather-mcp

3. Install dependencies:

uv sync

4. Set your Met Office API key as an environment variable:

export MET_OFFICE_API_KEY="your_api_key_here"

Or create a .env file:

cp .env.example .env
# Edit .env and add your API key

Usage

Run the Server

Development Mode

uv run uk_weather_mcp.py

With Environment Variables

MET_OFFICE_API_KEY="your_key" uv run uk_weather_mcp.py

Claude Desktop Integration

To integrate with Claude Desktop, add the following to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "uk-weather": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/uk-weather-mcp",
        "run",
        "uk_weather_mcp.py"
      ],
      "env": {
        "MET_OFFICE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Replace /absolute/path/to/uk-weather-mcp with the actual absolute path to this directory.

Available Tools

1. uk_weather_get_hourly_forecast

Get detailed hourly weather forecasts for up to 48 hours ahead.

Parameters:

• latitude (float, required): Latitude in decimal degrees (-90 to 90)

• longitude (float, required): Longitude in decimal degrees (-180 to 180)

• response_format (string, optional): "markdown" (default) or "json"

Example:

{
  "latitude": 51.5074,
  "longitude": -0.1278,
  "response_format": "markdown"
}

2. uk_weather_get_three_hourly_forecast

Get weather forecasts at 3-hour intervals for up to 7 days ahead.

Parameters:

• latitude (float, required): Latitude in decimal degrees (-90 to 90)

• longitude (float, required): Longitude in decimal degrees (-180 to 180)

• response_format (string, optional): "markdown" (default) or "json"

Example:

{
  "latitude": 40.7128,
  "longitude": -74.0060,
  "response_format": "json"
}

3. uk_weather_get_daily_forecast

Get daily weather summaries for up to 7 days ahead.

Parameters:

• latitude (float, required): Latitude in decimal degrees (-90 to 90)

• longitude (float, required): Longitude in decimal degrees (-180 to 180)

• response_format (string, optional): "markdown" (default) or "json"

Example:

{
  "latitude": 48.8566,
  "longitude": 2.3522,
  "response_format": "markdown"
}

Weather Data Included

Each forecast provides comprehensive weather information:

• Temperature: Actual and "feels like" temperature (°C)

• Wind: Speed (m/s) and direction (degrees)

• Precipitation: Total amount (mm)

• Humidity: Relative humidity (%)

• Visibility: Distance (meters)

• Pressure: Mean sea level pressure (Pa)

• UV Index: UV radiation intensity

• Weather Conditions: Significant weather codes

Error Handling

The server provides clear, actionable error messages:

• API Key Issues: "Error: API key invalid or missing. Please check the MET_OFFICE_API_KEY environment variable"

• Invalid Location: "Error: Weather data not available for this location"

• Rate Limits: "Error: Rate limit exceeded. Please wait before making more requests"

• Network Issues: "Error: Request timed out" or "Error: Could not connect to Met Office API"

Response Formats

Markdown Format (Default)

Human-readable format with:

• Clear section headers

• Formatted timestamps (UTC)

• Organized weather parameters

• Limited to 20 forecast periods for readability

JSON Format

Machine-readable GeoJSON format with:

• Complete forecast data

• All available weather parameters

• Full time series

• Metadata and geometry information

Character Limits

Responses are automatically truncated if they exceed 25,000 characters, with a clear notice and guidance on how to get more specific data.

Development

Project Structure

uk-weather-mcp/
├── .github/
│   ├── workflows/
│   │   └── test-mcp.yml   # GitHub Actions CI/CD workflow
│   └── SETUP.md           # GitHub Actions setup guide
├── uk_weather_mcp.py      # Main MCP server implementation
├── pyproject.toml         # Project configuration and dependencies
├── README.md              # This file
├── .env.example           # Example environment variables
├── test_examples.md       # Test scenarios and examples
└── CLAUDE.md              # Project instructions

Testing

Local Testing

Run the server in development mode:

uv run uk_weather_mcp.py

The server will start and wait for MCP protocol messages over stdio.

Automated Testing with GitHub Actions

The repository includes a comprehensive GitHub Actions workflow that automatically tests:

• ✅ Python syntax validation

• ✅ Server initialization

• ✅ All three forecast tools (hourly, 3-hourly, daily)

• ✅ Both output formats (Markdown and JSON)

• ✅ Error handling for invalid inputs

• ✅ Multiple global locations

Setup Instructions:

1. Add your Met Office API key as a GitHub secret named MET_OFFICE_API_KEY

2. See .github/SETUP.md for detailed setup instructions

3. The workflow runs automatically on push and pull requests

4. Manual runs can be triggered from the Actions tab

The workflow uses uv for dependency management and runs on Ubuntu with Python 3.12.

Code Quality

The server follows MCP best practices:

• FastMCP Framework: Uses the official Python MCP SDK

• Pydantic Validation: Robust input validation with clear error messages

• Async/Await: Efficient async HTTP requests

• Code Reusability: Shared utilities for API requests, error handling, and formatting

• Tool Annotations: Proper hints (readOnlyHint, idempotentHint, openWorldHint)

• Comprehensive Documentation: Detailed docstrings with usage examples

License

MIT License - feel free to use and modify as needed.

Credits

Weather data provided by the UK Met Office DataHub API.