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NearbySearch MCP Server

@kukapay

リポジトリ

基本情報

カテゴリ

検索

ライセンス

MIT

トランスポート

stdio

作者

kukapay

NearbySearch MCP Server について

An MCP server for nearby place searches with IP-based location detection.

NearbySearch 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": {
    "nearby-search-mcp": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

NearbySearch 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 NearbySearch MCP Server?

NearbySearch MCP Server is an MCP server that enables nearby place searches by combining IP-based location detection (via ipapi.co) with Google Places API. It serves users who need quick, location-aware search capabilities within MCP environments like Claude Desktop.

How to use NearbySearch MCP Server?

Clone the repository, install dependencies (mcp, httpx, python-dotenv) using uv or pip, and configure your client with a GOOGLE_API_KEY environment variable. Run the server in development mode with mcp dev main.py, install it in Claude Desktop with mcp install main.py --name "NearbySearch", or execute directly with python main.py. The sole tool endpoint, search_nearby, accepts a keyword string, an optional radius in meters (default 1500), and an optional place type such as "restaurant" or "cafe".

Key features of NearbySearch MCP Server

  • IP-based location detection using ipapi.co
  • Google Places integration for nearby searches
  • Single tool endpoint with customizable radius
  • Optional type filter for place categories
  • Configurable search radius (default 1500 meters)

Use cases of NearbySearch MCP Server

  • Finding coffee shops near your current location
  • Searching for restaurants within a specified radius
  • Locating nearby cafes, parks, or other place types
  • Integrating location-aware search into MCP-enabled applications

よくある質問

1

What are the requirements to run NearbySearch MCP Server?

Python 3.10 or higher, a Google Cloud Platform API key with Places API enabled, and an internet connection.

2

How do I install NearbySearch MCP Server?

Clone the repository, install dependencies (using uv or pip: mcp, httpx, python-dotenv), then configure your client with the GOOGLE_API_KEY environment variable.

3

How do I run NearbySearch MCP Server?

You can run it in development mode with `mcp dev main.py`, install it in Claude Desktop with `mcp install main.py --name "NearbySearch"`, or execute directly with `python main.py`.

4

What parameters does the search_nearby tool accept?

Keyword (required string), radius (optional integer in meters, default 1500), and type (optional string, e.g., "restaurant" or "cafe").

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