A
licenseB
qualityD
maintenanceA Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.
Last updated
1
47
MIT
Google Search MCP Server
Uses environment variables to securely store and load Google API credentials and Custom Search Engine IDs for authentication.
Provides Google Custom Search functionality, allowing AI agents to search the web through Google's search engine API and retrieve search results programmatically.
Integrates with Google Cloud's Custom Search API, enabling access to customized search experiences with specific search engine configurations.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Search MCP Serverfind recent articles about quantum computing breakthroughs"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 claudeManual Installation
Clone the repository:
git clone https://github.com/gradusnikov/google-search-mpc-server.git
cd google-search-mpc-serverInstall dependencies:
pip install fastmcp google-api-python-client python-dotenvRelated MCP server: Scrapeless MCP Server
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_idTo 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.pyor 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"
]
},This server cannot be installed
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
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If you are the server author, to access and configure the admin panel.
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