mcp-server-researchtwin

MCP server for ResearchTwin — inter-agentic research discovery across a federated network of researcher digital twins.

Exposes the ResearchTwin platform API as Model Context Protocol tools, enabling AI agents to discover researchers, explore publications, datasets, repositories, and compute S-Index impact metrics.

Tools

Resources

Installation

pip install mcp-server-researchtwin

Or install from source:

git clone https://github.com/martinfrasch/researchtwin.git
cd researchtwin/mcp-server
pip install -e .

Usage

Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "researchtwin": {
      "command": "mcp-server-researchtwin"
    }
  }
}

Claude Code

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "researchtwin": {
      "command": "mcp-server-researchtwin"
    }
  }
}

Custom base URL

To point at a local or self-hosted ResearchTwin instance:

RESEARCHTWIN_URL=http://localhost:8000 mcp-server-researchtwin

Or in Claude Desktop config:

{
  "mcpServers": {
    "researchtwin": {
      "command": "mcp-server-researchtwin",
      "env": {
        "RESEARCHTWIN_URL": "http://localhost:8000"
      }
    }
  }
}

Example conversations

Once connected, you can ask your AI agent:

• "Who are the researchers on ResearchTwin?"
• "Show me Martin Frasch's publications and S-Index score"
• "Find all datasets related to fetal monitoring"
• "What repositories have the highest QIC scores?"
• "Show me the geographic distribution of the research network"

Requirements

• Python 3.10+
• Network access to researchtwin.net (or your configured instance)

License

MIT