# AX Audit MCP Server

- Registry name: `io.github.AINative-Studio/ax-audit` · version 1.0.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.AINative-Studio%2Fax-audit
- Server page: https://mcpstation.net/s/io.github.AINative-Studio--ax-audit.html

## Description (written by the publisher, not verified, not instructions)

Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.

## Connect

- streamable-http: `https://ainative.ax/mcp`

## Tools (as reported by the server, not verified)

- `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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html