gptr-mcp
GPT Researcher MCP Server is designed to enhance large language model applications by providing high-quality, deep research results. It ensures reliable and up-to-date information through autonomous exploration and validation of sources, optimizing the research context while offering integration with platforms like Claude.
What is the primary advantage of using GPT Researcher MCP?
The primary advantage is its ability to deliver high-quality, relevant, and up-to-date information by autonomously exploring and validating numerous sources, optimizing context usage for LLMs.
What are the prerequisites for running the MCP server?
You need Python 3.11 or higher and API keys for the services you plan to use, such as OpenAI and Tavily.
How can I integrate the MCP server with Claude?
You can integrate it by configuring Claude Desktop with your local GPT Researcher MCP server and following the detailed instructions in the Claude Desktop Integration guide.
What should I do if I encounter issues while running the MCP server?
Ensure your API keys are correctly set, you're using Python 3.11 or higher, all dependencies are installed, and check server logs for errors. For Docker issues, verify the container is running and check logs.
Can I run the MCP server using Docker?
Yes, you can run it using Docker in standalone mode or with a network for integration with other services like n8n.