AWS GeoPlaces MCP Server

@dxsim

Basic information

About AWS GeoPlaces MCP Server

MCP server to directly access AWS location services using the GeoPlaces API, provides direct geocoding or reverse-geocoding capabilities like Google Maps API

AWS GeoPlaces MCP Server config

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

{
  "mcpServers": {
    "AWS-GeoPlaces-MCP-Server": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.13"
      ]
    }
  }
}

AWS GeoPlaces MCP Server tools

Tool list not available yet

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Overview

What is AWS-GeoPlaces-MCP-Server?

A server that provides geocoding and reverse-geocoding capabilities by directly accessing AWS location services through the GeoPlaces v2 API, similar to the Google Maps API. It is designed for use with MCP (Model Context Protocol) clients such as Claude Desktop.

How to use AWS-GeoPlaces-MCP-Server?

First, install uv and create a Python 3.13 virtual environment. Install the MCP Python SDK, boto3, and python-dotenv. Run the server using mcp dev server.py or install it in Claude Desktop by editing claude_desktop_config.json with the full path to uv and your server script.

Key features of AWS-GeoPlaces-MCP-Server

Geocoding via AWS GeoPlaces v2 API
Reverse-geocoding support
Direct access to AWS location services
Compatible with MCP clients like Claude Desktop
Python-based using MCP SDK and boto3
Minimal AWS permissions example provided

Use cases of AWS-GeoPlaces-MCP-Server

Convert addresses to geographic coordinates (geocoding)
Find addresses from coordinates (reverse-geocoding)
Integrate location data into AI assistants like Claude
Replace Google Maps API for geocoding needs

Frequently asked questions

What AWS permissions are required?

You need AWS permissions to host MCP for Location Service. Refer to the provided `sample_IAM_policy.json` for the minimum viable permissions.

What dependencies are needed?

Python 3.13, `uv`, the MCP Python SDK (`mcp[cli]`), `boto3`, and `python-dotenv`.

How do I install the server in Claude Desktop?

Find the full path to `uv` using `which uv` (Mac/Linux) or `where uv` (Windows). Then edit `claude_desktop_config.json` to include the command, args, and script path as shown in the quickstart example.

How can I test the server?

Use the MCP Inspector by running `mcp dev server.py` in your terminal.

Is there a Smithery deployment?

Yes, the server is available on Smithery at [https://smithery.ai/server/@dxsim/aws-geoplaces-mcp-server](https://smithery.ai/server/@dxsim/aws-geoplaces-mcp-server).

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