Deterministic AI-liability attribution: signed, Bitcoin-anchored vendor/deployer/user fault split.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-smq9sn5jck-cloud-causallayer-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Deterministic AI-liability attribution: signed, Bitcoin-anchored vendor/deployer/user fault split.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationBe the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in finance
Real-time financial market data: stocks, forex, crypto, commodities, and economic indicators
A Model Context Protocol (MCP) server that provides AI assistants with direct access to the Spreedly payments API. Enables LLMs to manage gateways, process transactions, tokenize payment methods, and more, through structured, validated tool calls.
MCP server for InsightSentry financial data API - market data, options, screeners, and more
Model Context Protocol for Actual Budget API
MCP Security Weekly
Get CVE alerts and security updates for io.github.smq9sn5jck-cloud/causallayer-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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.
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):
https://mcp.faultkey.com/mcp (live, custom domain)https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp/healthz/stats (public, aggregated, no PII)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."
Settings → MCP Servers → Add new:
faultkeynpx -y causallayer-mcp{
"name": "faultkey",
"command": "npx",
"args": ["-y", "causallayer-mcp"]
}
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
... [View full README on GitHub](https://github.com/smq9sn5jck-coder/causallayer-mcp#readme)