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What is LLM-Amap-mcp?

LLM-Amap-mcp is an intelligent address parsing service that combines Claude AI with Amap's MCP to provide powerful address parsing, geocoding, and location information query functionalities.

How to use LLM-Amap-mcp?

To use LLM-Amap-mcp, clone the project repository, set up the Python environment, configure your API keys, and run the FastAPI service to access the API endpoints for address parsing and geocoding.

Key features of LLM-Amap-mcp?

• Intelligent address parsing using Claude AI for natural language address queries.
• Integration with Amap's API via MCP protocol.
• Multiple query methods including address-to-coordinate, coordinate-to-address, and POI search.
• Support for complex multi-turn tool calls to complete sequential tasks.
• RESTful API for easy integration.
• Asynchronous processing for high-performance concurrent requests.

Use cases of LLM-Amap-mcp?

1. Converting natural language addresses into geographic coordinates.
2. Retrieving detailed address information from coordinates.
3. Searching for points of interest (POI) based on user queries.
4. Planning travel routes and providing location-based recommendations.

FAQ from LLM-Amap-mcp?

• What APIs does LLM-Amap-mcp provide?

It provides APIs for address parsing, health checks, and tool listings.

• Is there a limit on the number of queries?

The limits depend on the API keys used; please check the respective API documentation for details.

• Can I use it for commercial purposes?

This project is intended for learning and research purposes; please adhere to the terms of service of the APIs used.