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GPT Researcher MCP Server

by assafelovic

GPT Researcher MCP delivers deep research results by autonomously exploring and validating numerous sources, focusing on relevant, trusted, and up-to-date information. It provides higher quality information, optimized context usage, comprehensive results, and better reasoning for LLMs.

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What is GPT Researcher MCP Server?

GPT Researcher MCP Server is a server that enables LLM applications, particularly Claude, to perform deep web research. It goes beyond standard search tools by autonomously exploring and validating numerous sources to deliver relevant, trusted, and up-to-date information.

How to use GPT Researcher MCP Server?

To use the GPT Researcher MCP server, you need to install it by cloning the GPT Researcher repository, installing the gptr-mcp dependencies, and setting up your environment variables with API keys for OpenAI and Tavily. Then, you can run the server using Python or the MCP CLI. Finally, integrate it with Claude by configuring the Claude Desktop application.

Key features of GPT Researcher MCP Server

  • Deep web research

  • Autonomous source validation

  • Optimized context usage

  • Comprehensive results

  • Integration with Claude

  • Primary Tools: deep_research, quick_search, write_report, get_research_sources, get_research_context

Use cases of GPT Researcher MCP Server

  • Researching investment opportunities

  • Gathering information for report writing

  • Analyzing market trends

  • Performing competitive analysis

FAQ from GPT Researcher MCP Server

What is GPT Researcher MCP?

GPT Researcher MCP delivers deep research results by autonomously exploring and validating numerous sources, focusing on relevant, trusted, and up-to-date information for LLMs.

What are the prerequisites for running the MCP server?

You need Python 3.10 or higher, an OpenAI API key, and a Tavily API key.

How do I integrate the MCP server with Claude?

You can integrate your MCP server with Claude using the Claude Desktop Integration. Follow the instructions in the documentation.

What if I encounter issues while running the MCP server?

Make sure your API keys are correctly set, you're using Python 3.10 or higher, all dependencies are installed, and check the server logs for error messages.

Where can I find more information about GPT Researcher?

Explore the MCP protocol documentation and GPT Researcher's core features documentation for more information.