Google Search

Integrates with Google Custom Search API to perform web searches and retrieve formatted results with titles, links, and snippets for research tasks and fact-checking.

Installation Instructions

README: https://github.com/gradusnikov/google-search-mcp-server

Google Search MCP Server

A Model Context Protocol (MCP) server that provides Google Custom Search functionality.

Installation

Installing via Smithery

To install google-search-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @gradusnikov/google-search-mcp-server --client claude

Manual Installation

1. Clone the repository:

git clone https://github.com/gradusnikov/google-search-mpc-server.git
cd google-search-mpc-server

2. Install dependencies:

pip install fastmcp google-api-python-client python-dotenv

Configuration

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

GOOGLE_API_KEY=your_google_api_key
GOOGLE_CSE_ID=your_custom_search_engine_id

To obtain these credentials:

1. Create a Google Cloud project and enable the Custom Search API
2. Generate an API key from the Google Cloud Console
3. Create a Custom Search Engine at https://cse.google.com/cse/all and get its ID

Usage

Start the server using MCP:

mcp run google_search_mcp_server.py

or add the server to Claude Desktop app CLAUDE_DIRECTORY/claude_desktop_config.json. For example if you are using Windows Subsystem for Linux (WSL) it may look like this:

"google-search": {
            "command": "wsl.exe",
            "args": [
                "bash",
                "-c",
                "source /home/[user]/anaconda3/etc/profile.d/conda.sh && conda activate mcp && /home/[user]/anaconda3/bin/mcp run /home/[user]/google-search-mpc-server/google_search_mcp_server.py"
            ]
        },