Genome Industrial Intelligence
Industrial intelligence for AI agents. Conviction scores and diligence for 10,000+ industrials.
Open source Repository Open in the app JSON README (API)
About
Industrial intelligence for AI agents. Conviction scores and diligence for 10,000+ industrials.
Details
- Kind
- MCP servers
- Topic
- Government & public data
- Publisher
- rdcahalane
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 0.1.0
- Last push
- 2026-05-09T21:15:33Z
- Repository state
- ativo
- Language
- Python
- Added
- 2026-08-29 04:01:17
- Updated
- 2026-09-13 03:11:25
- Origin id
io.github.rdcahalane/genome-industrial-intelligence
README
<!-- mcp-name: io.github.rdcahalane/genome-industrial-intelligence -->
# 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](https://genomestudio.vercel.app/dealmakers)
**→ Available on Smithery:** [smithery.ai/servers/rdcahalane/genome-industrial-intelligence](https://smithery.ai/servers/rdcahalane/genome-industrial-intelligence)
## Tools
| Tool | Description |
|------|-------------|
| `get_signal` | Full investment signal for a ticker (conviction, archetype, ECL/PFSL, options) |
| `get_screener` | Top conviction signals across all tracked tickers |
| `get_ecl` | Live macro regime + 7 ECL module scores |
| `get_horizons` | 3M/6M/12M multi-horizon signals with divergence |
| `get_supply_chain` | Upstream supply chain risk and conviction drag |
| `get_pfsl` | Pre-financial signal layer from SEC EDGAR |
| `get_regime` | Current macro regime summary |
| `ask_genome` | Natural language Q&A grounded in live Genome data |
## Setup
### Option 1: Smithery (recommended — no local install)
Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:
```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+)
```bash
pip install httpx mcp
```
Then add to Claude Desktop config:
```json
{
"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`](./openai_functions.json) for the complete tool spec.
### LangChain
See [`langchain_tools.py`](./langchain_tools.py) for BaseTool implementations.
```python
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](https://genomestudio.vercel.app/dealmakers)
| Plan | Price | Lookups |
|------|-------|---------|
| Pay-as-you-go | $49 one-time | 10 lookups |
| Pro | $199/month | 200 lookups/month |
| Enterprise | Custom | Custom SLA |