Genome Industrial Intelligence

io.github.rdcahalane/genome-industrial-intelligence

This connects Claude to a database of conviction scores and due diligence data for over 10,000 industrial companies. You'd reach for it when you need to evaluate manufacturing, logistics, or industrial sector companies and want quantified intelligence beyond basic financials. The server exposes industrial intelligence through both stdio and HTTP transports, making it straightforward to query company assessments, compare conviction scores across peers, or pull diligence summaries during market research or investment analysis workflows. If you're building agents that need to reason about industrial sector opportunities or risks, this gives them access to structured intelligence they can actually query and act on.

tools: 9
transport: STDIO, HTTP
last updated: May 9, 2026

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Tools

9 tools

Public tool metadata for what this MCP can expose to an agent.

get_signalGet the full investment signal for an industrial ticker: conviction score, archetype, trajectory, ECL/PFSL adjustments, options structure, and regime impact.2 params

Get the full investment signal for an industrial ticker: conviction score, archetype, trajectory, ECL/PFSL adjustments, options structure, and regime impact.

Parameters* required

industrystring

Optional industry hint (e.g. hvac, auto, aerospace_defense)

tickerstring

Stock ticker (e.g. HON, CAT, GE)

get_screenerScreen all tracked industrial tickers by conviction, signal type, or archetype. Returns ranked list of top signals.4 params

Screen all tracked industrial tickers by conviction, signal type, or archetype. Returns ranked list of top signals.

Parameters* required

archetypestring

Filter by archetype: constrained, oscillatory, fragile, resilient, saturated, decoupled

limitinteger

Max results (default 20)

min_convictionnumber

Minimum conviction threshold (default 0.25)

signalstring

Filter by signal: STRONG_BUY, BUY, WATCH, NEUTRAL, SELL, STRONG_SELL

get_eclGet the current External Constraint Layer (ECL) macro regime and all 7 module scores: CPI (commodity), EPI (energy), LPI (labor), DCSI (demand/channel), DLPS (decision latency), ROC (regime multiplier), DCS (data confidence).1 params

Get the current External Constraint Layer (ECL) macro regime and all 7 module scores: CPI (commodity), EPI (energy), LPI (labor), DCSI (demand/channel), DLPS (decision latency), ROC (regime multiplier), DCS (data confidence).

Parameters* required

industrystring

Optional industry for sector-specific ECL weights

get_horizonsGet 3M, 6M, and 12M multi-horizon investment signals for a ticker with divergence patterns.1 params

Get 3M, 6M, and 12M multi-horizon investment signals for a ticker with divergence patterns.

Parameters* required

tickerstring

Stock ticker

get_supply_chainGet upstream supply chain risk for a ticker — which upstream industries are stressed and how much that drags the conviction score.1 params

Get upstream supply chain risk for a ticker — which upstream industries are stressed and how much that drags the conviction score.

Parameters* required

tickerstring

Stock ticker

get_pfslGet Pre-Financial Signal Layer (PFSL) scores from SEC EDGAR financials: operational stress, demand signals, capex activity, narrative shift, labor/talent, and Reddit sentiment blend.2 params

Get Pre-Financial Signal Layer (PFSL) scores from SEC EDGAR financials: operational stress, demand signals, capex activity, narrative shift, labor/talent, and Reddit sentiment blend.

Parameters* required

industrystring

Optional industry hint

tickerstring

Stock ticker

get_regimeGet a concise summary of the current macro market regime and its impact on conviction scaling.

Get a concise summary of the current macro market regime and its impact on conviction scaling.

No parameter schema in public metadata yet.

get_diligenceGet a full industrial operational diligence brief for a company. Returns 6-section structured analysis covering operational genome, leadership, supply chain, financial signals, risk flags, and diligence priority questions.2 params

Get a full industrial operational diligence brief for a company. Returns 6-section structured analysis covering operational genome, leadership, supply chain, financial signals, risk flags, and diligence priority questions.

Parameters* required

formatstring

Output format: 'full' (default) or 'json_compact' for token-efficient agent use

tickerstring

Stock ticker (e.g. HON, CAT, ROK)

ask_genomeAsk a natural language question and get an AI-synthesized answer grounded in live Genome data. Examples: 'Which industrials are best positioned right now?', 'What is HON's signal and why?', 'Is the macro regime favorable for HVAC names?'2 params

Ask a natural language question and get an AI-synthesized answer grounded in live Genome data. Examples: 'Which industrials are best positioned right now?', 'What is HON's signal and why?', 'Is the macro regime favorable for HVAC names?'

Parameters* required

context_tickersarray

Optional list of tickers to include as context

questionstring

Your question in plain English

Details

Package: genome-industrial-intelligence
Transport: STDIO, HTTP
Registry: MCP registry, active