What are the system requirements?
Python 3.6 or higher is required.
@webcoderz
基本信息
Geocoding MCP server with GeoPY!
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MCP-Geo": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP-Geo is a geocoding MCP server built with GeoPy. It provides tools that allow Large Language Models (LLMs) to geocode addresses, reverse geocode coordinates, calculate distances, and perform batch lookups in a rate-limited, error-handled way. It is aimed at developers integrating location capabilities into AI workflows via Claude Desktop or other MCP clients.
Clone the repository, install dependencies with uv sync, then install the server using fastmcp install geo.py --name "MCP Geo" for Claude Desktop. For other environments, add the JSON configuration (with command: "uv", args: ["--directory", "MCP-Geo", "run", "geo.py"]) to your MCP settings file, optionally setting environment variables like GEOCODER_PROVIDER, NOMINATIM_URL, or API keys for alternative providers.
Python 3.6 or higher is required.
The server requires `fastmcp` (for the MCP framework) and `geoPy` (for geocoding). All dependencies are listed in `requirements.txt` and can be installed via `uv sync`.
Run `fastmcp install geo.py --name "MCP Geo"` after cloning the repository and installing dependencies.
Set the `GEOCODER_PROVIDER` environment variable to `"nominatim"`, `"arcgis"`, or `"bing"`. Additional variables (e.g., `ARC_USERNAME`, `ARC_PASSWORD`, `BING_API_KEY`, `NOMINATIM_URL`, `SCHEME`) can be configured in the MCP settings file or shell environment.
Rate limiting (default 1‑second delay per geocoding call) prevents hitting service quotas, and error handling catches geopy exceptions, returning `None` instead of crashing.

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