SaintDoresh/Weather-MCP-ClaudeDesktop
by Various
An MCP (Model Context Protocol) tool that provides real-time weather data, forecasts, and historical weather information using the OpenWeatherMap API, specifically designed for Cla
MCP
SaintDoresh/Weather-MCP-ClaudeDesktop
Added 1 June 2026
Overview
An MCP tool that connects Claude Desktop to the OpenWeatherMap API. It provides real-time weather data, forecasts, and historical information through the Model Context Protocol.
Best for
Best for
Developers who want to add weather queries directly inside Claude Desktop conversations
Use cases
- Ask Claude for the current weather in a specific city
- Retrieve a 5-day forecast during a conversation
- Access historical weather data for analysis or planning
How to use
Install
pip install -r requirements.txt Tools exposed
get_current_weatherget_weather_forecastget_air_qualityget_historical_weathersearch_locationget_weather_alerts
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "weather-mcp": {\n "command": "py",\n "args": ["-3.13", "C:\\Path\\To\\Your\\Weather-MCP-ClaudeDesktop\\main.py"]\n }\n }\n} Notes
An MCP tool that connects Claude Desktop to the OpenWeatherMap API. It provides real-time weather data, forecasts, and historical information through the Model Context Protocol.
9 stars on GitHub. Last updated 2025-03-16. Licensed MIT.
Use cases
- Ask Claude for the current weather in a specific city
- Retrieve a 5-day forecast during a conversation
- Access historical weather data for analysis or planning
Pros
- Simple integration with Claude Desktop using MCP
- Covers current, forecast, and historical weather data
- Lightweight Python implementation, easy to customize
Cons
- Requires an OpenWeatherMap API key to function
- Limited to Claude Desktop; not compatible with other MCP hosts
- Low community activity and minimal documentation
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple integration with Claude Desktop using MCP
- Covers current, forecast, and historical weather data
- Lightweight Python implementation, easy to customize
Cons
- Requires an OpenWeatherMap API key to function
- Limited to Claude Desktop; not compatible with other MCP hosts
- Low community activity and minimal documentation
Pairs with
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