
Google Search Server
Leverage Google Custom Search to enhance your applications with powerful search capabilities. Easily integrate and retrieve search results from Google directly within your environment. Start building smarter applications that can access the vast information available on the web.
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
This will open your configuration file where you can add the Google Search Server MCP server manually.
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
- Clone the repository:
git clone https://github.com/gradusnikov/google-search-mpc-server.git
cd google-search-mpc-server
- 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:
- Create a Google Cloud project and enable the Custom Search API
- Generate an API key from the Google Cloud Console
- 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"
]
},
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