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Weather MCP Server

by roblopez-qz
GitHub
Python
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Weather MCP Server

A Model Context Protocol (MCP) server that provides weather information, web search capabilities, and basic math operations using FastMCP.

Features

šŸŒ¤ļø Weather Tools

  • get_alerts: Get weather alerts for any US state

  • get_forecast: Get detailed weather forecast for any location (latitude/longitude)

šŸ” Search Tools

  • brave_search: Search the web using Brave Search API

  • add_numbers: Add two numbers together

šŸ’” Prompts

  • suggest_events: Get comprehensive weather data and event suggestions for a location

Prerequisites

Installation

  1. Clone and navigate to the project:

    cd /opt/projects/mcp-hack/weather

  2. Install dependencies:

    uv sync

Configuration

The server uses a hardcoded Brave Search API key. If you want to use your own API key, you can:

  1. Get a free API key from Brave Search API

  2. Update the BRAVE_API_KEY constant in weather.py

Running the Server

Method 1: Direct Python execution

uv run python weather.py

Method 2: Using the main module

uv run python main.py

Method 3: Using uv with module execution

uv run -m weather

Usage Examples

Once the server is running, you can use the following tools:

Weather Tools

# Get weather alerts for California get_alerts("CA") # Get forecast for San Francisco (37.7749, -122.4194) get_forecast(37.7749, -122.4194)

Search Tool

# Search the web with default 3 results brave_search("python programming tutorials") # Search with custom result count brave_search("weather forecast San Francisco", 5)

Math Tool

# Add two numbers add_numbers(15.5, 24.3)

Prompts

# Get weather-based event suggestions suggest_events("San Francisco") # or with coordinates suggest_events("37.7749,-122.4194")

API Integration

This server integrates with:

  • National Weather Service API: For weather data and alerts

  • Brave Search API: For web search functionality

  • FastMCP: For MCP server implementation

  • LangChain Community: For Brave Search tool integration

Development

Project Structure

weather/ ā”œā”€ā”€ weather.py # Main MCP server with all tools ā”œā”€ā”€ main.py # Alternative entry point ā”œā”€ā”€ pyproject.toml # Project dependencies ā”œā”€ā”€ uv.lock # Dependency lock file ā””ā”€ā”€ README.md # This file

Adding New Tools

To add new tools, follow the FastMCP pattern:

@mcp.tool() async def your_tool_name(param1: str, param2: int = 10) -> str: """Tool description. Args: param1: Description of parameter 1 param2: Description of parameter 2 (default: 10) """ # Your tool logic here return "Tool result"

Troubleshooting

Common Issues

  1. "BRAVE_SEARCH_API_KEY environment variable not set"

    • The API key is hardcoded in the server, but if you see this error, check that BRAVE_API_KEY is properly set in weather.py

  2. Weather API errors

    • Ensure you're using valid US state codes (2 letters) for alerts

    • Verify latitude/longitude coordinates are valid for forecasts

  3. Import errors

    • Run uv sync to ensure all dependencies are installed

    • Make sure you're using Python 3.11 or higher

Dependencies

Key dependencies include:

  • fastmcp: MCP server framework

  • httpx: HTTP client for API requests

  • langchain-community: Brave Search integration

  • langchain-core: Core LangChain functionality

License

This project is part of the MCP hack and is provided as-is for educational and development purposes.

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides weather information including alerts and forecasts for any location, web search capabilities through Brave Search API, and basic math operations. Includes weather-based event suggestions to help users plan activities based on current conditions.

  1. Features
    1. šŸŒ¤ļø Weather Tools
    2. šŸ” Search Tools
    3. šŸ’” Prompts
  2. Prerequisites
    1. Installation
      1. Configuration
        1. Running the Server
          1. Method 1: Direct Python execution
          2. Method 2: Using the main module
          3. Method 3: Using uv with module execution
        2. Usage Examples
          1. Weather Tools
          2. Search Tool
          3. Math Tool
          4. Prompts
        3. API Integration
          1. Development
            1. Project Structure
            2. Adding New Tools
          2. Troubleshooting
            1. Common Issues
            2. Dependencies
          3. License

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