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MCP Geocoder Rosetta

@richardschrammcom

代码仓库

关于 MCP Geocoder Rosetta

A "rosetta stone" repo that shows creating simple geocoder MCP servers in python (with googlemaps sdk and direct googlemaps API with urllib) and typescript. CLI clients and documentation on adding them to Claude Desktop App.

基本信息

分类

开发工具

许可证

MIT license

运行时

python

传输方式

stdio

发布者

richardschrammcom

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-geocoder-rosetta": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "mcp[cli]"
      ]
    }
  }
}

工具

未检测到工具

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。

概览

What is MCP Geocoder Rosetta?

A collection of Model Context Protocol (MCP) geocoder implementations in different languages and approaches, using the Google Maps API. It serves as a learning resource for developers building their own MCP tools.

How to use MCP Geocoder Rosetta?

Clone the repository, set the GOOGLE_MAPS_API_KEY environment variable, install the MCP CLI, and run one of the test scripts such as python run_geocoder.py <implementation>. The three implementations can be configured individually for integration with Claude Desktop via claude_desktop_config.json.

Key features of MCP Geocoder Rosetta

  • Three geocoder implementations (Python urllib, Python Google Maps SDK, TypeScript)
  • Minimal dependencies option using Python standard library
  • Supports integration with Claude Desktop via MCP
  • Includes debugging scripts and server/client separation modes
  • Warns against installing multiple implementations simultaneously

Use cases of MCP Geocoder Rosetta

  • Learning how to build MCP tools in multiple programming languages
  • Geocoding addresses via the Google Maps API through AI assistants
  • Comparing implementation approaches for dependencies, error handling, and code size
  • Debugging MCP client-server connectivity with provided test scripts
  • Setting up a geocoding tool for use in Claude Desktop

FAQ from MCP Geocoder Rosetta

What prerequisites are needed?

A Google Maps API key, Python 3.13+ (for Python implementations), Node.js 16+ (for TypeScript), and the MCP CLI tools.

How do I configure the Google Maps API key?

Set it as the GOOGLE_MAPS_API_KEY environment variable, or create a .env file in each implementation directory with that variable.

Can I run all three implementations at the same time?

No. The README strongly advises installing only one implementation at a time to avoid tool disambiguation issues in Claude Desktop.

What debugging resources are available?

The repository includes debug_mcp.sh, test_direct.py, test_server.py, and options to run the server and client separately for isolating connectivity issues.

How is the TypeScript implementation started?

The recommended method is to run python run_geocoder.py typescript, which automatically installs npm dependencies and starts the TypeScript server.

评论

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