DeepResearch
Provides a stateful web research system that iteratively explores topics using Firecrawl for searches and GPT-4 for a...
What it does
Provides a stateful web research system that iteratively explores topics using Firecrawl for searches and GPT-4 for analysis, generating citation-rich reports without manual search management.
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.
Capabilities
Server
Quality
deterministic score 0.60 from registry signals: · indexed on pulsemcp · has source repo · 25 github stars · registry-generated description present