Summary

Research that arrives already filtered.

A plain search tool hands back raw results and spends your context window on the irrelevant ones. This does the filtering first and returns what survived, with the sources attached.

What it is

The GPT Researcher agent exposed over MCP. It explores and validates many sources on its own, keeps only what holds up, and returns the findings with the sources behind them. A deep run takes around 30 seconds.

What you get

Deep research on a topic: many sources explored and validated, only the relevant and trusted ones kept
A fast web search for the questions where speed matters more than depth
The gathered research context on its own, so the material can feed your own reasoning
The list of sources behind a piece of research, for checking or citing
A written report built from research already done, rather than from a fresh search

Requirements

Python with the repository's requirements installed, plus two keys in your client config: one for OpenAI and one for Tavily. Both services bill you directly for what the research consumes.

Setup effort

One command plus a key — docker run gptr-mcp, then supply credentials