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GPT Researcher MCP

Autonomous web research agent as an MCP server

ResearchFreeClaudeClaude CodeCursorWindsurfAll ModelsAdvanced✓ Verified
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Last verified: September 20, 2026

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Maintenance status

Active
Last code update: September 26, 2026License: Apache-2.0Checked September 28, 2026

The linked repository is the main GPT Researcher project; its MCP server is maintained as a companion project.

How to Install GPT Researcher MCP

$git clone https://github.com/assafelovic/gptr-mcp.git && cd gptr-mcp && pip install -r requirements.txt && python server.py

Compatible with: Claude, Claude Code, Cursor, Windsurf, All Models.

Setup by client

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "gpt-researcher-mcp": {
      "url": "https://github.com/assafelovic/gptr-mcp.git"
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "gpt-researcher-mcp": {
      "type": "http",
      "url": "https://github.com/assafelovic/gptr-mcp.git"
    }
  }
}

Claude Code (terminal)

claude mcp add --transport http gpt-researcher-mcp https://github.com/assafelovic/gptr-mcp.git

Add any API keys or environment variables the server's README lists.

About GPT Researcher MCP

GPT Researcher MCP gives AI clients an autonomous research agent that browses, summarizes, and synthesizes information across many sources to produce cited reports. It is open source and designed for deep-research workflows.

GPT Researcher MCP is a Research MCP server designed for developers and AI power users. It enables extending AI assistants with real-world capabilities by exposing a structured set of tools over the Model Context Protocol. Key capabilities include standards-based mcp server interface, works with claude, gpt, gemini, and other mcp clients, tool discovery and structured outputs, and structured tool calls that work cleanly inside an LLM context. It integrates with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client, and is best suited for developers and AI power users who need ai engineers wiring assistants into real tools.

Key Features

  • research
  • web-search
  • agents
  • Standards-based MCP server interface
  • Works with Claude, GPT, Gemini, and other MCP clients
  • Tool discovery and structured outputs

Pricing

Free: from Free (open source)

Pros & Cons

Pros

  • Drop-in support across MCP-compatible AI clients
  • Reduces prompt boilerplate by exposing concrete tool calls
  • Active community and ongoing updates

Cons

  • Requires an MCP-capable client to use
  • Initial setup can require configuration
  • Capability surface depends on what the underlying service exposes

Best For

  • AI engineers wiring assistants into real tools
  • Teams adopting MCP as an integration standard
  • Power users who want more than chat

Our Take on GPT Researcher MCP

GPT Researcher MCP brings autonomous, multi-source web research into your agent, producing cited reports from a single query. Excellent for deep-research workflows, though it relies on your own LLM and search API keys and can run up token costs on long reports.

Frequently Asked Questions

Tags

#research#web-search#agents