Genome Industrial Intelligence — MCP Server

Industrial system intelligence for AI agents. Conviction scores, archetypes, and operational diligence for 10,000+ industrial companies from public signals. Built for PE firms, M&A advisors, and AI agents doing industrial research.

→ Get an API key: genomestudio.vercel.app/dealmakers
→ Available on Smithery: smithery.ai/servers/rdcahalane/genome-industrial-intelligence

Tools

Setup

Option 1: Smithery (recommended — no local install)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "genome": {
      "command": "npx",
      "args": ["-y", "@smithery/cli@latest", "run", "rdcahalane/genome-industrial-intelligence", "--key", "<your-smithery-key>"],
      "env": {
        "GENOME_COMMERCIAL_KEY": "gk_live_<your-key>"
      }
    }
  }
}

Option 2: Direct (requires Python 3.11+)

pip install httpx mcp

Then add to Claude Desktop config:

{
  "mcpServers": {
    "genome": {
      "command": "python3",
      "args": ["-m", "genome_mcp"],
      "env": {
        "GENOME_COMMERCIAL_KEY": "gk_live_<your-key>",
        "GENOME_API_URL": "https://genome-api-production.up.railway.app"
      }
    }
  }
}

OpenAI Function Calling

See openai_functions.json for the complete tool spec.

LangChain

See langchain_tools.py for BaseTool implementations.

from langchain_tools import get_genome_tools
tools = get_genome_tools()

Example agent queries

• "Which industrials have the strongest buy signals right now?"

• "What's ROK's conviction and why?"

• "Is the current macro regime favorable for HVAC names?"

• "Give me a diligence brief on Emerson Electric"

• "Which PE-owned industrials are showing fragile archetypes?"

• "Compare HON and EMR on supply chain risk"

• "What's the CPI pipeline pressure on diversified industrials?"

Pricing

Purchase at genomestudio.vercel.app/dealmakers