Built For use with Cline + VS Code!

What is Google Search MCP Server? Google Search MCP Server is an MCP (Model Context Protocol) server designed to enable AI models to perform Google searches and analyze webpage content programmatically, specifically built for use with Cline and VS Code. How to use Google Search MCP Server? To use the server, clone the repository, install the necessary dependencies, configure your Google API credentials, and run the server using the provided scripts. Key features of Google Search MCP Server? Advanced Google Search with filtering options (date, language, country, safe search) Detailed webpage content extraction and analysis Batch webpage analysis for comparing multiple sources Environment variable support for API credentials Comprehensive error handling and user feedback MCP-compliant interface for seamless integration with AI assistants Use cases of Google Search MCP Server? Performing advanced searches for specific topics with filters. Extracting and analyzing content from web pages for research. Comparing information from multiple sources for comprehensive insights. FAQ from Google Search MCP Server? What are the prerequisites for using the server? You need Node.js, Python, a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key. How do I get Google API credentials? You can obtain them from the Google Cloud Console by creating a project and enabling the Custom Search API. Is there error handling in the server? Yes, the server provides detailed error messages for various issues such as missing credentials and failed requests.

As an MCP (Model Context Protocol) server, Built For use with Cline + VS Code! enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, clone the repository, install the necessary dependencies, configure your Google API credentials, and run the server using the provided scripts. Key features of Google Search MCP Server? Advanced Google Search with filtering options (date, language, country, safe search) Detailed webpage content extraction and analysis Batch webpage analysis for comparing multiple sources Environment variable support for API credentials Comprehensive error handling and user feedback MCP-compliant interface for seamless integration with AI assistants Use cases of Google Search MCP Server? Performing advanced searches for specific topics with filters. Extracting and analyzing content from web pages for research. Comparing information from multiple sources for comprehensive insights. FAQ from Google Search MCP Server? What are the prerequisites for using the server? You need Node.js, Python, a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key. How do I get Google API credentials? You can obtain them from the Google Cloud Console by creating a project and enabling the Custom Search API. Is there error handling in the server? Yes, the server provides detailed error messages for various issues such as missing credentials and failed requests.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.