gemini-mcp-server

gemini-mcp-server

0

Gemini MCP Server is a Model Context Protocol server designed for seamless integration with Google Search, allowing AI assistants and MCP clients to perform web and image searches. The server supports extensive customization through Google Custom Search APIs.

Gemini MCP Server

This project implements a Model Context Protocol (MCP) server for Google Search enabling integration with AI assistants and other MCP-compatible clients.


Prerequisites

  • Node.js 18+
  • npm

Installation

1. Clone the repository

git clone https://github.com/your-username/mcp-google-search.git
cd google-mcp-server

2. Install dependencies

npm install

3. Set up your Google Custom Search API credentials

Create a .env file in the project root with the following content:

GEMINI_API_KEY=your_google_api_key_here
  • GOOGLE_API_KEY: Your Google Custom Search API key.

You can obtain these from the Google Custom Search JSON API documentation.


Usage

1. Run a test search

npx ts-node src/test.ts

This will execute a sample search and print the results to the console.

2. Integrate with MCP-compatible clients

To use this server as part of an MCP configuration, add an entry to your MCP settings file (e.g., claude_desktop_config.json):

{
  "mcpServers": {
    "gemini-api": {
      "command": "npx",
      "args": ["ts-node", "src/index.ts"],
      "env": {
        "GEMIN_API_KEY": "your_gemini_api_key_here",
      }
    }
  }
}

Replace the API key and CX ID with your actual credentials.


Available Tools

The server provides the following tools:

  1. googleSearchContent: Performs a web search using the Google Custom Search API and returns structured results (titles, links, and snippets).
  2. googleSearchImages: Performs an image search using the Google Custom Search API and returns a Markdown image link for the first result.

Refer to the source code in src/tools.ts for detailed usage information.


Development

To make changes to the project:

  1. Modify the code in the src directory as needed.
  2. If you add or remove dependencies, update package.json accordingly.
  3. Restart your MCP client or test script to apply changes.

Troubleshooting

  • Ensure your Google API key and CX ID are correctly set in the .env file or your environment.
  • Check that all dependencies are installed (npm install).
  • Verify that you are using Node.js 18 or newer.
  • If you make changes to the code, restart your server or test script.

License

This project is licensed under the MIT License.