MCP Geocoder Rosetta

@richardschrammcom

About 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.

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

Basic information

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