This MCP server implementation provides a deep research capability using multiple AI agents. Developed by JoshuaLelon, it offers a tool for conducting in-depth investigations on given queries with customizable research tones. The server is built using Python and integrates with the FastMCP framework and gpt-researcher library. It focuses on progress reporting and error handling, making it suitable for AI applications that require thorough, multi-agent research on complex topics. The implementation is particularly useful for generating comprehensive reports on a wide range of subjects, with the flexibility to adjust the research tone from objective to critical, optimistic, balanced, or skeptical.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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