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MCP Geocoder Rosetta

@richardschrammcom

代码仓库

基本信息

分类

开发工具

许可证

MIT license

传输方式

stdio

作者

richardschrammcom

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.

MCP Geocoder Rosetta 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]"
      ]
    }
  }
}

MCP Geocoder Rosetta 工具

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。

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

常见问题

1

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.

2

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.

3

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.

4

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.

5

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.

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