mixelpixx_Google-Search-MCP-Server
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The Google Search MCP Server is a tool that allows AI models to perform Google searches and analyze webpage content programmatically.
The Google Search MCP Server is designed to integrate Google search capabilities and webpage content analysis tools into AI models. By leveraging the Model Context Protocol (MCP), this server provides a standardized interface for AI models to interact with Google's search engine and extract meaningful information from web pages. It supports advanced search features such as filters, sorting, and pagination, and offers content analysis in various formats like markdown, HTML, and plain text. The server is built with TypeScript and utilizes the MCP SDK to ensure seamless communication between AI models and the Google API. It also includes error handling mechanisms to provide detailed feedback on issues such as invalid API credentials or network connectivity problems.
Features
- Google Custom Search integration
- Advanced search features including filters and pagination
- Webpage content analysis in multiple formats
- Batch webpage analysis
- Optimized, human-readable responses
Tools
google_search
Search Google and return relevant results from the web.
extract_webpage_content
Extract and analyze content from a webpage, converting it to readable text.
extract_multiple_webpages
Extract and analyze content from multiple webpages in a single request.