CausalLayer MCP
Deterministic AI liability attribution with Bitcoin-anchored proof certificates.
Connect it
Settings → Connectors → Add custom connector
URL: https://mcp.faultkey.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://mcp.faultkey.com/mcp{
"mcpServers": {
"causallayer": {
"url": "https://mcp.faultkey.com/mcp"
}
}
}claude mcp add --transport http causallayer https://mcp.faultkey.com/mcp{
"servers": {
"causallayer": {
"type": "http",
"url": "https://mcp.faultkey.com/mcp"
}
}
}{
"mcpServers": {
"causallayer": {
"command": "npx",
"args": [
"-y",
"causallayer-mcp@0.4.0"
]
}
}
}claude mcp add causallayer -- npx -y causallayer-mcp@0.4.010 tools, verified live
submit_incidentSubmit an AI incident for deterministic causal liability attribution. Returns a signed CausalCertificate, per-agent liability allocation, evidence-chain completeness, regulatory mapping, and (where keys are configured) a Bitcoin-anchored proof. Cost: 50 credits. Three guardrails apply: PII scan, deterministic-only acknowledgement, and minimum evidence.
verify_certificateIndependently verify a CausalCertificate end-to-end (signature, Merkle integrity, issuer status against the registry). Cost: 1 credit. In production env, certificates from non-active issuers are rejected.
verify_certificate_recomputeIndependently re-derive a CausalCertificate from its canonical input and compare byte-for-byte against the claimed certificate. This is the strongest verification path: it requires no trust in the issuer or signing key. Cost: 1 credit (same price as verify_certificate). Returns PASS only if every checked field (certificateId, request_hash, merkleRoot, verdict, causalGraph, fourFactorScoring, devia
submit_otel_traceConvert an OpenTelemetry OTLP JSON trace into a FaultKey incident and return the same deterministic CausalCertificate as submit_incident. Each span becomes an event; service.name groups spans into agents; W3C trace_id and span_id propagate as evidence pointers on the causal graph edges. Cost: 50 credits (same as submit_incident). Three guardrails apply: PII scan, deterministic-only acknowledgement
simulate_remediationCounterfactual remediation simulator. Given a certificate's verdict + fourFactorScoring + agents and a list of remediation IDs from the FK-METHOD-2026-003 catalog, return the apportioned shares each remediation would have produced (in isolation) and the composite shares if they all stack. Every remediation cites a specific statute or standard. GET /api/v2/remediation/catalog for the list of IDs. C
query_jurisdiction_overlayMulti-jurisdiction overlay (FK-METHOD-2026-004). Given a canonical attributable apportionment (party-id -> share), the union of all jurisdiction role tags on each actor, and the union of jurisdiction-specific flags, return side-by-side post-overlay shares for AU, EU, US, UK, CA (or a chosen subset) with the specific rules that fired in each, citation URLs, and a parties à jurisdictions matrix. v1
evaluate_prospective_responseDeterministic prospective-evaluation gate (FK-METHOD-2026-006). Pass a ProposedAction BEFORE the agent delivers a response; receive one of three verdicts: 'allow', 'require_revision' (with specific factor-keyed directives), or 'block'. Uses the same four-factor engine that issues post-hoc certificates, so a single incident chains: prospective_pre_image -> response -> certificate -> anchor. This is
get_anchor_statusReturn the index of all CausalLayer Tessera anchor batches, or one batch's full JSON (signed Merkle root, leaves, OpenTimestamps proof reference). FREE.
query_issuer_registryReturn the CausalLayer issuer registry, or one issuer record. The registry lists all trusted public-key fingerprints, key algorithms, validity windows, and the anchor-log repo for each active issuer. FREE â no API key required.
extract_incidentClaude-powered structured extractor. Parses unstructured text (news articles, court filings, emails, PDFs, incident reports, logs) into the typed JSON schema required by submit_incident. Returns a ready-to-submit incident object with extracted agents, events, severity, jurisdiction, and financial impact. NOTE: This is a pre-processing convenience tool â the deterministic scoring engine itself re
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