Genome Industrial Intelligence
io.github.rdcahalane/genome-industrial-intelligence
9 toolsSTDIO, HTTPregistry active
Summary
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.
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Public tool metadata for what this MCP can expose to an agent.
9 tools
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
industrystringOptional industry hint (e.g. hvac, auto, aerospace_defense)
tickerstringStock 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
archetypestringFilter by archetype: constrained, oscillatory, fragile, resilient, saturated, decoupled
limitintegerMax results (default 20)
min_convictionnumberMinimum conviction threshold (default 0.25)
signalstringFilter 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
industrystringOptional 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
tickerstringStock 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
tickerstringStock 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
industrystringOptional industry hint
tickerstringStock 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
formatstringOutput format: 'full' (default) or 'json_compact' for token-efficient agent use
tickerstringStock 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_tickersarrayOptional list of tickers to include as context
questionstringYour question in plain English
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Packagegenome-industrial-intelligence
TransportSTDIO, HTTP
UpdatedMay 9, 2026