Google Search MCP Server
by MCP-Mirror
An MCP server providing Google search and webpage content analysis capabilities. It enables AI models to programmatically perform searches and analyze webpage content.
Last updated: N/A
What is Google Search MCP Server?
This is an MCP (Model Context Protocol) server that integrates Google Custom Search and webpage content analysis tools, allowing AI models to access and process information from the web.
How to use Google Search MCP Server?
To use this server, you need to install the necessary dependencies (Node.js and Python), configure your Google API credentials, and add the server configuration to your MCP settings. Then, you can start the server and use the available tools (search, analyze_webpage, batch_analyze_webpages) by sending requests in the specified format.
Key features of Google Search MCP Server
Google Custom Search integration
Webpage content analysis
Batch webpage analysis
MCP-compliant interface
Use cases of Google Search MCP Server
AI model access to real-time information
Automated research and data gathering
Content analysis for AI applications
Enhanced AI model reasoning with web context
FAQ from Google Search MCP Server
What is an MCP server?
What is an MCP server?
MCP stands for Model Context Protocol. It's a protocol that allows AI models to interact with external tools and services.
What Google API credentials do I need?
What Google API credentials do I need?
You need a Google API Key and a Custom Search Engine ID.
How do I get Google API credentials?
How do I get Google API credentials?
You can obtain these credentials through the Google Cloud Console and the Custom Search Engine page.
What programming languages are required?
What programming languages are required?
Node.js (TypeScript) and Python are required.
What kind of error handling is implemented?
What kind of error handling is implemented?
The server provides detailed error messages for missing credentials, failed search requests, invalid URLs, and network issues.