UK Weather & Travel Outfit Recommender MCP Server

A Model Context Protocol (MCP) server that combines Met Office weather data with travel routing to recommend what to wear for your journey.

Features

• Outfit Recommendations: Get personalised clothing suggestions based on weather conditions and your travel plans

• Weather Forecasts: Detailed hourly weather forecasts for UK locations

• Travel Information: Calculate travel time and distance between locations

• Supports multiple travel modes: walking, cycling, and driving

• Real-time UK weather data from the Met Office DataHub API

• Intelligent clothing recommendations based on temperature, precipitation, wind, and UV index

Related MCP server: OpenWeatherMap MCP Server

Prerequisites

• Python 3.12 or higher

• uv package manager

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

Installation

1. Clone the repository:

git clone <repository-url>
cd commute_mcp

2. Create a virtual environment and install dependencies:

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

4. Set up your Met Office API key:

export MET_OFFICE_API_KEY="your-api-key-here"

Usage

Running as an MCP Server

Start the server using stdio transport:

python -m src.server

The server provides three tools:

1. Get Outfit Recommendation

Analyses your journey and provides clothing recommendations:

{
  "name": "get_outfit_recommendation",
  "arguments": {
    "origin": "Bristol",
    "destination": "Bath",
    "travel_mode": "walking",
    "hours_until_departure": 0
  }
}

Parameters:

• origin (required): Starting location (e.g., "Bristol", "London Bridge")

• destination (required): Destination location

• travel_mode (optional): "walking", "cycling", or "driving" (default: "walking")

• hours_until_departure (optional): Hours until you leave, 0 for now (default: 0)

2. Get Weather Forecast

Get detailed hourly weather forecast for a UK location:

{
  "name": "get_weather_forecast",
  "arguments": {
    "location": "Manchester",
    "hours": 12
  }
}

Parameters:

• location (required): Location name (e.g., "Bristol", "Edinburgh")

• hours (optional): Number of hours to forecast (default: 12)

3. Get Travel Information

Calculate travel time and distance:

{
  "name": "get_travel_info",
  "arguments": {
    "origin": "London",
    "destination": "Cambridge",
    "mode": "driving"
  }
}

Parameters:

• origin (required): Starting location

• destination (required): Destination location

• mode (optional): "walking", "cycling", or "driving" (default: "walking")

Using with Claude Desktop

To use this MCP server with Claude Desktop, add it to your Claude configuration file:

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

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "commute-mcp": {
      "command": "uv",
      "args": ["--directory", "/path/to/commute_mcp", "run", "python", "-m", "src.server"],
      "env": {
        "MET_OFFICE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Then restart Claude Desktop. You can now ask Claude questions like:

• "What should I wear for a walk from Bristol to Bath?"

• "What's the weather forecast for Edinburgh for the next 6 hours?"

• "How long would it take to cycle from Manchester to Salford?"

How It Works

1. Geocoding: Converts location names to coordinates using OpenStreetMap's Nominatim API

2. Routing: Calculates travel time and distance using OSRM (Open Source Routing Machine)

3. Weather Data: Fetches hourly forecasts from the Met Office DataHub API

4. Analysis: Analyses weather conditions for your journey window

5. Recommendations: Generates clothing suggestions based on:

   • Temperature and "feels like" temperature

   • Precipitation probability

   • Wind speed and gusts

   • UV index

   • Travel mode and duration

Development

Running Tests

pytest tests/

Project Structure

commute_mcp/
├── src/
│   ├── __init__.py
│   ├── server.py       # MCP server and tool handlers
│   ├── location.py     # Geocoding and routing
│   ├── weather.py      # Weather data and outfit recommendations
│   └── preferences.py  # User preferences management
├── tests/
│   ├── test_api.py
│   └── test_geocode.py
├── pyproject.toml
└── README.md

APIs Used

• Met Office DataHub: Weather forecasts for UK locations

• OSRM: Open-source routing engine for travel calculations

• Nominatim: OpenStreetMap geocoding service