a year ago
research-and-dataPower your AI agents with Google Search–enhanced research via an open-source MCP server. Includes tools for Google Search, YouTube/web scraping, LLM-driven synthesis, persistent caching, and dual transport (STDIO + HTTP SSE) for efficient, flexible integration.
Overview
What is Google Researcher MCP Server?
Google Researcher MCP Server is an open-source server that enhances AI agents with web research capabilities through Google Search, YouTube scraping, and Gemini AI analysis.
How to use Google Researcher MCP Server?
To use the server, clone the repository, install dependencies, configure your environment variables with API keys, and run the server in development or production mode.
Key features of Google Researcher MCP Server?
- Research Tools: Includes tools for Google Search, web scraping, and AI analysis.
- Performance & Reliability: Features persistent caching and session resumption for improved performance.
- Flexible Integration: Compatible with any MCP-compatible client and supports multiple transport options.
Use cases of Google Researcher MCP Server?
- Empowering AI assistants with real-time web information.
- Reducing API costs through efficient caching.
- Integrating with various applications for enhanced research capabilities.
FAQ from Google Researcher MCP Server?
- What are the requirements to run the server?
You need Node.js v18+ and API keys for Google services.
- Is the server open source?
Yes! It is licensed under the MIT License and is free to use and modify.
- How can I contribute to the project?
You can fork the repository, create a feature branch, and submit a pull request for any changes.