Google Search MCP
Empower your AI with real-time web search capabilities using the Google Search MCP server. This server allows models to perform queries, retrieve search results, and browse web snippets to stay updated with the latest information. It's a crucial component for any AI assistant that needs to provide accurate, up-to-date answers beyond its training data.
How to Install
1. Ensure you have an MCP client installed (e.g., Claude Desktop)
2. Click 'Visit Source' below to get the code or package
3. Follow the README instructions in the project
4. Add the server configuration to your MCP client config file
Configuration Example (claude_desktop_config.json)
{
"mcpServers": {
"google-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-search"
],
"env": {
"GOOGLE_API_KEY": "YOUR_API_KEY",
"GOOGLE_CSE_ID": "YOUR_CSE_ID"
}
}
}
}Key Features
Real-time Google search query execution
Snippet and metadata retrieval from search results
Custom Search Engine (CSE) integration
High accuracy and low latency web browsing
Server Details
Empower your AI with real-time web search capabilities using the Google Search MCP server. This server allows models to perform queries, retrieve search results, and browse web snippets to stay updated with the latest information. It's a crucial component for any AI assistant that needs to provide accurate, up-to-date answers beyond its training data.
Pricing
freeTags
Visit Source / Official Link
Go to the official GitHub repository to view source code, documentation, and installation instructions.
GitHub Repository