Industrial Genome Signals — MCP Server

Real-time conviction signals for 10,000+ industrial companies. Behavioral fingerprinting, archetype classification, and macro regime analysis — no internal ERP data required.

Get an API key: genomestudio.vercel.app/dealmakers

Quick Start

Claude Desktop

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

{
  "mcpServers": {
    "genome": {
      "command": "npx",
      "args": ["-y", "genome-industrial-signals"],
      "env": {
        "GENOME_COMMERCIAL_KEY": "gk_live_your_key_here"
      }
    }
  }
}

Smithery

Available at smithery.ai/servers/rdcahalane/genome-industrial-signals.

Install via Smithery CLI:

npx @smithery/cli install genome-industrial-signals

Manual / Development

git clone https://github.com/rdcahalane/genome-mcp
cd genome-mcp/mcp-server
npm install && npm run build
GENOME_COMMERCIAL_KEY=gk_live_... node dist/index.js

Tools

get_signal — Conviction signal for a ticker

get_signal({ ticker: "ROK" })

Returns full investment signal: archetype, trajectory, conviction score (−1 to +1), signal label (STRONG_BUY to STRONG_SELL), ECL macro pressure scores, PFSL pre-financial signals, supply chain stress, and options structure recommendation.

Archetypes: oscillatory · constrained · fragile · resilient · saturated · decoupled
Trajectories: improving · stable · deteriorating

get_ecl — Macro regime + environmental pressure scores

get_ecl({ industry: "industrials" })

Returns 7 ECL modules derived from live FRED data:

• CPI — Commodity cost pressure (tariffs, PPI, raw materials)
• EPI — Energy cost pressure (crude, nat gas, diesel)
• LPI — Labor cost pressure (manufacturing wages)
• DCSI — Demand/channel stress (orders, sentiment, credit spreads)
• DLPS — Decision latency proxy (vs. industry benchmark)
• ROC — Regime multiplier (0.6–1.3×, directly scales all conviction scores)
• DCS — Data confidence score

get_screener — Screen by signal, archetype, conviction

get_screener({ signal: "STRONG_BUY", limit: 10 })
get_screener({ archetype: "constrained", min_conviction: 0.35 })

Returns ranked list sorted by conviction. Useful for sector scans before earnings or finding opportunities at scale.

get_entity — Full behavioral fingerprint

get_entity({ ticker: "HON" })

Deep single-company view: 6 system dimensions (gain, damping, latency, oscillation, saturation, volatility_transmission), constraint node (D1–X3 taxonomy), full conviction breakdown, anomaly flags, and recommended actions.

get_similar — Peer comparables by fingerprint distance

get_similar({ ticker: "ROK", limit: 5 })

Finds companies with similar behavioral fingerprints across all 6 system dimensions. Useful for relative-value trades and identifying companies likely to follow a similar trajectory.

get_horizons — 3M/6M/12M multi-horizon signals

get_horizons({ ticker: "EMR" })

Captures time-varying risk that single-period signals miss. Key divergence patterns:

• oscillatory:stable → NEUTRAL at 6M but SHORT signal at 3M (−4% mean)
• resilient:* → strongest long at 12M (+77% excess return in backtest)

get_diligence — Full operational diligence brief

get_diligence({ ticker: "TDG" })
get_diligence({ ticker: "TDG", format: "json_compact" })

6-section structured analysis:

1. Conviction thesis + signal detail
2. Operational signals (job posting velocity, OSHA grade, EPA grade)
3. SI-addressability + technology fit score
4. Leadership stability (exec tenure, recent transitions)
5. Cross-engine risk flags + anomaly alerts
6. Peer comparables + 5 AI diligence priority questions

Use format: "json_compact" for token-efficient agent pipelines.

ask_genome — Natural language Q&A

ask_genome({ question: "Which industrials are best positioned right now?" })
ask_genome({ question: "Compare ROK vs EMR conviction", context_tickers: ["ROK", "EMR"] })

Auto-pulls relevant signals, ECL regime, and screener results, then synthesizes an answer. Good for exploratory analysis, investment thesis generation, and sector commentary.

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | GENOME_COMMERCIAL_KEY | Recommended | Commercial key (gk_live_*). Full access to all tools. Purchase at genomestudio.vercel.app/dealmakers | | GENOME_API_KEY | Optional | Internal key fallback. A free-tier key is built in for basic testing. | | GENOME_API_URL | Optional | API base URL. Default: https://genome-api-production.up.railway.app |

Signal Thresholds

| Signal | Conviction | |--------|-----------| | STRONG_BUY | > 0.42 | | BUY | > 0.35 | | WATCH | > 0.20 | | NEUTRAL | −0.20 to +0.20 | | SELL | < −0.45 | | STRONG_SELL | < −0.65 | | EARLY_WARNING | Near neutral + ROC < 0.85 + CPI > 0.40 |

License

MIT — API usage subject to Genome Terms of Service.