Causallayer MCP MCP Server

Model Context Protocol server for CausalLayer — deterministic AI liability attribution with Bitcoin-anchored, signed certificates. Runs on Cloudflare

Remote serverstreamable-http

What is the Causallayer MCP MCP server?

Most cloud and infrastructure work still happens through a UI a human drives. Causallayer MCP MCP server moves it into the conversation instead. Model Context Protocol server for CausalLayer — deterministic AI liability attribution with Bitcoin-anchored, signed certificates. Runs on Cloudflare Workers or locally via npx.

The short version

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.

The tools it exposes

The server publishes 5 tools. What each one is for:

  • submit_incident — Submit an AI incident for deterministic liability attribution. Returns a signed CausalCertificateV1 with per-agent fault allocation, evidence-chain
  • verify_certificate — Independently verify a certificate (signature, Merkle integrity, issuer status) without calling FaultKey
  • get_anchor_status — Return the index of all Tessera anchor batches or one batch's full JSON (signed Merkle root, OpenTimestamps proof reference)
  • query_issuer_registry — List all trusted CausalLayer issuer public-key fingerprints, status, and validity windows
  • Cursor — The Cursor tool exposed by this server

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

How it compares

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Causallayer MCP's toolset — submit_incident, verify_certificate, get_anchor_status and 2 more — is a fair guide to whether it matches your workflow. It is maintained by smq9sn5jck-coder; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
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.
verify_certificateIndependently verify a certificate (signature, Merkle integrity, issuer status) without calling FaultKey.
get_anchor_statusReturn the index of all Tessera anchor batches or one batch's full JSON (signed Merkle root, OpenTimestamps proof reference).
query_issuer_registryList all trusted CausalLayer issuer public-key fingerprints, status, and validity windows.
CursorThe Cursor tool exposed by this server.

How to install the Causallayer MCP MCP server

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

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Causallayer MCP to submit incident.
  • Use Causallayer MCP to verify certificate.
  • Use Causallayer MCP to get anchor status.

Frequently asked questions

It connects Causallayer MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (submit_incident, verify_certificate, get_anchor_status, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Causallayer MCP directly.