markchiang
MCP Servermarkchiangpublic

gpt researcher mcp

一个为 GPT 研究助手设计的 MCP 封装工具，便于集成到 MCP 或类似工作流中。

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About This Server

一个为 GPT 研究助手设计的 MCP 封装工具，便于集成到 MCP 或类似工作流中。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

gpt-researcher-mcp MCP server

A MCP server for gpt-researcher

This is just a MCP wrapper for gpt-researcher.

This project, gpt-researcher-mcp, is a wrapper extension built on top of the open-source project gpt-researcher. The original gpt-researcher was developed by Assaf Elovic, and I am not the original author.

gpt-researcher is an automated research assistant that performs web searches, summarizes information, and generates structured reports based on a given query. This wrapper (gpt-researcher-mcp) is designed to make the original tool more suitable for integration into MCP or similar workflows.

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

  "gpt-researcher-mcp": {
    "command": "npx",
    "args": ["-y", "gpt-researcher-mcp"],
    "env": {
      "llm_provider": "google_genai",
      "GOOGLE_API_KEY": "your key",
      "FAST_LLM": "google_genai:gemini-1.5-flash",
      "SMART_LLM": "google_genai:gemini-1.5-pro",
      "STRATEGIC_LLM":"google_genai:gemini-1.5-pro",
      "EMBEDDING": "google_genai:models/text-embedding-004",
      "TAVILY_API_KEY": "your key"
    }
  }

Development

### Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv run gpt-researcher-mcp

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Quick Start

1

Clone the repository

git clone https://github.com/markchiang/gpt-researcher-mcp
2

Install dependencies

cd gpt-researcher-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownermarkchiang
Repogpt-researcher-mcp
LanguagePython
LicenseMIT License
Last fetched8/10/2025

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