google-research-mcp
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The Google Researcher MCP Server empowers AI assistants with web research capabilities through Google Search, content scraping, and Gemini AI analysis.
The Google Researcher MCP Server is a robust implementation of the Model Context Protocol (MCP) designed to enhance AI clients' research capabilities. It integrates with Google Search, content scraping, and Gemini AI analysis to provide comprehensive research tools. The server supports persistent caching to improve performance and reduce API costs, making it an efficient solution for AI-driven research tasks. It offers multiple transport options, including STDIO and HTTP+SSE, and includes a management API for monitoring and control. The server is open-source, licensed under MIT, and supports flexible integration with any MCP-compatible client.
Features
- Research Tools: Includes tools like google_search, scrape_page, analyze_with_gemini, and research_topic for comprehensive research capabilities.
- Performance & Reliability: Features a persistent caching system, session resumption, and multiple transport options for enhanced performance and reliability.
- Flexible Integration: Compatible with any MCP-compatible client, allowing for seamless integration into various systems.
- Open Source: Licensed under MIT, allowing free use and modification.
Tools
google_search
Find information via Google Search API.
scrape_page
Extract content from websites and YouTube videos.
analyze_with_gemini
Process text using Google's Gemini AI.
research_topic
Combine search, scraping, and analysis in one operation.
