Google Maps

Provides access to Google Maps and Places data for local queries via an MCP interface.
  • python

3

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "mastan1301-google_maps_mcp": {
      "command": "uvx",
      "args": [
        "google-maps-mcp"
      ],
      "env": {
        "GOOGLE_MAPS_API_KEY": "<your google maps API key>"
      }
    }
  }
}

This MCP server provides a Python-based interface that uses Google Maps and Places data to answer questions about local businesses and attractions in India. You can query for cafes in a city, top tourist spots nearby, and more, using a simple MCP client to fetch up-to-date information.

How to use

To use the Google Maps MCP Server, connect an MCP client that speaks the MCP protocol. Your client requests information such as places, restaurants, or attractions, and the server returns structured results based on Google Maps data. Typical use cases include finding the best cafés in a city, discovering highly rated tourist places near a given location, and exploring nearby points of interest. You can integrate this server into your workflow to power chatbots, assistants, or custom apps that need local information.

How to install

Prerequisites: Python 3.8 or higher. A Google Maps API key with access to Maps and Places data.

# Install the MCP runtime helper
curl -LsSf https://astral.sh/uv/install.sh | sh

# Run the MCP server locally
uvx google-mcp-server

Additional content

Configure the server so that clients can connect and authenticate with your Google Maps API key. You can run the server in a local development environment and then integrate it into your MCP client workflow.

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