DeepResearch MCP Server provides AI assistants with a structured approach to conducting multi-step web research. It leverages Firecrawl for web searches and OpenAI's GPT-4 for analyzing findings and generating comprehensive reports. The server implements a stateful research process that iteratively explores topics at configurable depths, with each step analyzing previous findings to determine the next search query. Built with TypeScript and the Model Context Protocol, it features robust error handling, token optimization for large research sessions, and both step-by-step and one-shot research workflows. This implementation is particularly valuable for users who need thorough, citation-rich research reports on complex topics without manually managing the search and synthesis process.
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Start a new research session. Parameters: query (string), depth (number)
Execute the next research step. Parameters: sessionId (string)
Create a final report. Parameters: sessionId (string), timeout (number, optional)
Execute the entire research process. Parameters: query (string), depth (number), timeout (number, optional)
