GPT Researcher
Summary
GPT Researcher MCP Server provides a bridge between AI assistants and web research capabilities, enabling real-time information gathering and report generation. Developed by Assaf Elovic, this implementation leverages the GPT Researcher library to offer tools for conducting deep research, performing quick searches, generating reports, and retrieving source information. The server exposes its functionality through well-defined tools and a resource endpoint that allows direct access to research context without explicit function calls. Built with FastMCP and Python, it includes features like research caching, custom report generation, and comprehensive source tracking, making it ideal for AI assistants that need to access current web information for tasks like answering time-sensitive questions, creating research reports, or providing evidence-based responses.
Available Actions(6)
deep_research
Performs deep web research on a topic, finding the most reliable and relevant information.
quick_search
Performs a fast web search optimized for speed over quality, returning search results with snippets. Supports any GPTR supported web retriever such as Tavily, Bing, Google, etc.
write_report
Generate a report based on research results.
get_research_sources
Get the sources used in the research.
get_research_context
Get the full context of the research.
research_query
Create a research query prompt.
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