All servers · AI models & agents
AX Audit MCP Server
io.github.AINative-Studio/ax-audit · v1.0.0
New (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 2 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
Connect
streamable-http · https://ainative.ax/mcp
claude mcp add --transport http ax-audit https://ainative.ax/mcp{
"mcpServers": {
"ax-audit": {
"url": "https://ainative.ax/mcp"
}
}
}Tools as reported by the server
scan_siteRun 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 notrun_full_auditRun 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
Repository · JSON · Text for agents · Registry updated 2026-10-27