weatherstack-mcp-server
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The Weatherstack MCP Server integrates the Weatherstack API with AI frameworks, enabling AI agents to access a variety of weather data efficiently. It acts as a structured interface for AI models to interact with weather information.
⛅ Weatherstack MCP Server
This project is an MCP server for integrating with the Weatherstack API. It allows AI agents to access real-time, historical, forecast, and marine weather data using natural language input. The server makes Weatherstack's functionality available through MCP tools for seamless use by large language models and agent frameworks.
Features
- Get current weather conditions for any location.
- Access historical weather data by date and hour.
- Retrieve multi-day weather forecasts.
- Obtain marine and tide information.
Prerequisites
- Python 3.11+
uvpackage manager- Supported LLM (e.g., Claude)
- Weatherstack API key
Contribution
Contributions are welcome for adding support, improving tool responses, enhancing tests, and providing feedback.