io.github.AINative-Studio/ax-audit · v1.0.0 · agents-and-memory
AX Audit MCP Server is healthy: it completed an MCP handshake in 767 ms and exposes 2 tools.
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
Endpoint: https://ainative.ax/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 2 |
| Latency | 767 ms |
| Last checked (UTC) | 2026-10-27T12:15:23.162Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-27T12:15:23.162Z | Healthy | 767 |
scan_site | Run an AX Audit on a URL — scores how ready a website is for AI agents across every real AR-* check this engine runs (robots.txt AI policy, llms.txt, agent.json, JSON-LD, OpenAPI, MCP/OAuth discovery, AR-PROV provisioning, and more — the exact check count grows over time, so it is intentionally not |
run_full_audit | Run the full AX Audit on a URL — the same real AR-* checks as scan_site (the exact check count grows over time, so it is intentionally not pinned here), plus an agent-simulation task (e.g. "find pricing") and an industry benchmark percentile, with the result persisted server-side. Returns a report_i |