🔍 GPT Researcher MCP Server

What is 🔍 GPT Researcher MCP Server?

🔍 GPT Researcher MCP Server is an MCP server that provides deep, autonomous web research for LLM applications. It integrates with GPT Researcher to explore and validate multiple sources, delivering higher quality and more relevant information than standard web search tools.

How to use 🔍 GPT Researcher MCP Server?

Install dependencies from the repository, configure Claude Desktop with API keys, and run the server using Python, Docker, or the MCP CLI. Use the provided tools such as deep_research, quick_search, and write_report for research tasks.

Key features of 🔍 GPT Researcher MCP Server

• Provides deep autonomous web research
• Offers quick search for faster results
• Generates reports from research data
• Retrieves sources and full context
• Optimizes context window usage

Use cases of 🔍 GPT Researcher MCP Server

• Conducting in-depth investment research on companies
• Gathering comprehensive information for reports
• Integrating deep research into Claude Desktop workflows
• Automating research tasks in n8n or web deployments
• Obtaining reliable, up-to-date information for LLM reasoning

FAQ from 🔍 GPT Researcher MCP Server

What is the difference between deep_research and quick_search?

deep_research performs thorough autonomous analysis and takes about 30 seconds, while quick_search returns faster results optimized for speed over depth.

What are the prerequisites for running the server?

Python 3.11 or higher, an OpenAI API key, and a Tavily API key. Other search engine APIs are supported as documented.

How do I configure Claude Desktop to use this server?

Add a JSON entry to ~/Library/Application Support/Claude/claude_desktop_config.json with the command to run server.py and the required environment variables (OPENAI_API_KEY, TAVILY_API_KEY).

What transport modes does the server support?

STDIO for local clients like Claude Desktop, SSE for Docker and web integrations, and Streamable HTTP for advanced web deployments. The server auto-detects the environment.

How are API keys handled in Claude Desktop?

API keys must be explicitly passed in the Claude Desktop configuration file because the server runs as a subprocess and cannot access shell or .env variables automatically.