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FaultKey · CausalLayer

by smq9sn5jck-coderversion 0.2.0i★ 3iRuns in the cloud
Registry nameio.github.smq9sn5jck-cloud/causallayer-mcp

Install

Overview

Description from the maker (original English)

Deterministic AI-liability attribution: signed, Bitcoin-anchored vendor/deployer/user fault split.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Crypto & blockchain

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3Connect4
https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp

Run this in your terminal

claude mcp add --transport http causallayer https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "causallayer": {
      "url": "https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "causallayer": {
      "type": "http",
      "url": "https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3Connect4
https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 11, 2026. The maker wrote them, not us; we show them as plain text.

  • submit_incident

    Submit 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

  • verify_certificate

    Independently 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_recompute

    Independently 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 P

  • submit_otel_trace

    Convert 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

  • simulate_remediation

    Counterfactual 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 a

  • query_jurisdiction_overlay

    Multi-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 (

  • evaluate_prospective_response

    Deterministic 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

  • get_anchor_status

    Return the index of all CausalLayer Tessera anchor batches, or one batch's full JSON (signed Merkle root, leaves, OpenTimestamps proof reference). FREE.

  • query_issuer_registry

    Return 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 — no API key required.

  • extract_incident

    Claude-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, jurisdicti

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

  • ! Caution

    Maker matches the repo

    The publisher (smq9sn5jck-cloud) is not the repo owner (smq9sn5jck-coder); someone else may have listed it

  • ✓ Pass

    Still maintained

    Code last changed 2 months ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 690 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 10 tool descriptions and found no hidden instructions to the AI

Compared with others in Crypto & blockchaini

  • More stars than 0% of the other 1635 servers in this category
  • Published to the registry more recently than 18% of the other 1635 servers in this category
  • Basic checks equal to or better than 53% of the other 1635 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is FaultKey · CausalLayer safe?

It passed 3 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 2 months ago, and the latest version (0.2.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Solana MCP by Vybe, Solana MCP by Vybe, Oracle3 prediction-market arbitrage checks

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Solana MCP by Vybe

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by vybenetworkWidely used★ 2.6KUpdated 6 months ago

Runs in the cloud

Solana MCP by Vybe

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by vybenetworkWidely used★ 2.6KUpdated 7 months ago

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FaultKey · CausalLayer MCP Server

Deterministic fault math for multi-party AI incidents. When an AI causes harm and three parties argue over who pays, FaultKey returns a signed, Bitcoin-anchored certificate of fault allocation in under 200 ms — no LLM, no probabilistic scoring, no vendor cooperation needed for a third party to verify.

This is the official Model Context Protocol (MCP) server for the CausalLayer engine, packaged as a Cloudflare Worker. It lets AI agents (Claude Desktop, Cursor, Cline, Continue, Windsurf) call the four core liability-attribution tools without writing a single line of integration code.

If this saves you time, [give it a star](https://github.com/smq9sn5jck-coder/causallayer-mcp/stargazers) — it helps others find it and tells us people care.

Live demo

🎮 [Try the Interactive Demo](https://mcp.faultkey.com/try) — No setup required. Pick a scenario, click "Run Analysis", see real-time liability attribution.

The public Worker is deployed on Cloudflare's global edge network and is fully functional in standalone demo mode (deterministic responses, watermarked, rate-limited 5 calls / IP / day):

  • Endpoint: https://mcp.faultkey.com/mcp (live, custom domain)
  • Mirror: https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp
  • Healthcheck: /healthz
  • Demand telemetry: /stats (public, aggregated, no PII)

Quick start

Claude Desktop

Add this to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "faultkey": { "command": "npx", "args": ["-y", "causallayer-mcp"] } } }

Restart Claude. Type *"List the FaultKey tools."*

Cursor

Settings → MCP Servers → Add new:

  • Name: faultkey
  • Command: npx -y causallayer-mcp
Cline / Continue / Windsurf
{

"name": "faultkey", "command": "npx", "args": ["-y", "causallayer-mcp"] }

Direct HTTP (no CLI)
curl -X POST https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp \

-H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":0,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"0"}}}'

The response includes a Mcp-Session-Id header that you reuse for subsequent calls.

Tools

ToolDescriptionDemo limitPaid cost
submit_incidentSubmit an AI incident for deterministic liability attribution. Returns a signed CausalCertificateV1 with per-agent fault allocation, evidence-chain completeness, and Bitcoin-anchored proof.5 / IP / day50 credits
verify_certificateIndependently verify a certificate (signature, Merkle integrity, issuer status) without calling FaultKey.50 / IP / day1 credit
get_anchor_statusReturn the index of all Tessera anchor batches or one batch's full JSON (signed Merkle root, OpenTimestamps proof reference).UnlimitedFree
query_issuer_registryList all trusted CausalLayer issuer public-key fingerprints, status, and validity windows.UnlimitedFree

Why deterministic?

Insurers, banks, and APRA-regulated entities cannot accept LLM-based fault attribution because the same prompt produces different answers on different days. FaultKey uses a closed-form causal scoring algorithm (graph-theoretic, version-pinned, byte-identical reproducible across runs) so two adversarial parties get the same number — that's the whole point.

The math is published as an Australian Standards-aligned paper. The signed certificate, issuer registry, and Merkle anchor log are all independently verifiable by a third party using only Node's built-in crypto and the causallayer-verifier tool — no network calls back to the vendor.

Guardrails (enforced at the Cloudflare edge)

  1. NO-PII — Payloads are regex-scanned for emails, Tax File Numbers, Medicare numbers, SSNs, and credit cards. Rejected unless the caller sets pii_acknowledged: true (which is logged in the certificate as a compliance acknowledgement).
  2. DETERMINISTIC-ONLY — The engine rejects any request lacking deterministic_only: true. This is the agent's binding acknowledgement that FaultKey output is closed-form, not probabilistic.
  3. EVIDENCE-REQ — At least one identified agent and one timestamped event with description must be supplied or the request is rejected with 400 evidence_insufficient.

Self-hosting

You can deploy your own copy to your own Cloudflare account if you want to enforce a corporate firewall, custom rate limits, or bring your own KV namespace:

git clone https://github.com/smq9sn5jck-coder/causallayer-mcp.git

cd causallayer-mcp pnpm install pnpm wrangler kv namespace create LEDGER

paste the returned id into wrangler.jsonc

pnpm wrangler deploy

The CausalLayer engine itself (the closed-form fault math) runs upstream and is available via API key. For self-hosted demos without an upstream, set STANDALONE_DEMO=true in wrangler.jsonc to short-circuit upstream calls and return deterministic, watermarked responses.

Architecture

[Claude/Cursor/Cline]  ←→  [npx causallayer-mcp]  ←→  [Cloudflare Worker]  ←→  [CausalLayer engine]

(mcp-remote proxy) (this repo) (Fly.io Sydney) ↓ [KV: credit ledger] [DO: per-session state] [KV: telemetry buffer]

  • Transport: Streamable HTTP (per the 2024-11-05 MCP spec — SSE is deprecated)
  • Session state: Cloudflare Durable Object (CausalLayerMCP), SQLite-backed
  • Billing: Cloudflare KV ledger, Stripe Checkout webhook, optional x402 USDC fallback
  • Demo: Per-IP daily counter in KV, deterministic fixture responses with [DEMO] watermark
  • Latency: p50 ≈ 60 ms (cold), 25 ms (warm) on Cloudflare's 300+ POPs

Pricing

TierCredits$AUDNotes
Demo5 incidents / IP / dayFreeWatermarked responses
Starter1,000$99Stripe Checkout, no SLA
Growth10,000$749+ 50 verify, 99.5% SLA
EnterpriseUnmeteredContact+ dedicated namespace, 99.95% SLA, audit log access

For enterprise tenants email sales@faultkey.com (or open a GitHub issue with subject "enterprise inquiry").

Interactive Tools

Score any AI incident in seconds — faultkey.com/score — describe what happened, get a deterministic liability split with dollar exposure, jurisdiction analysis, and a shareable verdict card.

Compare vendor liability profiles — faultkey.com/compare — side-by-side comparison of AI vendors (OpenAI vs Anthropic vs Google etc.) across incident types.

Public accuracy ledger — faultkey.com/track-record — 7/7 direction match on backtested cases, 3 pending predictions on active litigation.

License

Apache 2.0. See LICENSE.

Support the Project

If FaultKey helped you understand AI liability, saved you research time, or you just think deterministic fault attribution should exist:

Built in Brisbane

FaultKey is built in Brisbane, Australia, with data residency in Sydney for APRA-regulated buyers. The team can be reached at hello@faultkey.com.