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kukapay

nearby-search-mcp

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

20 stars PythonServers & Infrastructure Updated Oct 24, 2025

Documentation

NearbySearch MCP Server

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

GitHub License
GitHub Last Commit
Python Version

Features

  • IP-based Location Detection: Uses ipapi.co to determine your current location
  • Google Places Integration: Searches for nearby places based on keywords and optional type filters
  • Simple Interface: Single tool endpoint with customizable radius

Requirements

  • Python 3.10+
  • Google Cloud Platform API Key with Places API enabled
  • Internet connection

Installation

1. Clone the repository:

bash
git clone https://github.com/kukapay/nearby-search-mcp.git
cd nearby-search-mcp

2. Install dependencies:

bash
# Using uv (recommended)
uv add "mcp[cli]" httpx python-dotenv

# Or using pip
pip install mcp httpx python-dotenv

3. Client Configuration

json
{
  "mcpServers": {
    "nearby-search": {
      "command": "uv",
      "args": ["--directory", "path/to/nearby-search-mcp", "run", "main.py"],
      "env": {
        "GOOGLE_API_KEY": "your google api key"
      }
    }
  }
}

Usage

Running the Server

  • Development Mode (with MCP Inspector):
bash
mcp dev main.py
  • Install in Claude Desktop:
bash
mcp install main.py --name "NearbySearch"
  • Direct Execution:
bash
python main.py

Available Endpoints

Tool: `search_nearby`

    License

    This project is licensed under the MIT License - see the LICENSE file for details.

    Frequently asked questions

    What is nearby-search-mcp?

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

    How do I install nearby-search-mcp?

    Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

    Is nearby-search-mcp open source?

    Yes — it is hosted on GitHub at https://github.com/kukapay/nearby-search-mcp and has 20 stars.

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