About Gpt Researcher MCP
Gpt Researcher MCP is an MCP server published by markchiang in the Productivity category: a MCP server project.
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/markchiang/gpt-researcher-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Gpt Researcher MCP
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
3 checks have not been run yet.
Releases
README
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
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--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.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.