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AWS GeoPlaces MCP Server

@dxsim

リポジトリ

基本情報

カテゴリ

クラウドとインフラ

ライセンス

Apache-2.0 license

トランスポート

stdio

作者

dxsim

AWS GeoPlaces MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

AWS GeoPlaces MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

What dependencies are needed?

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

3

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.

4

How can I test the server?

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

5

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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