io.github.AINative-Studio/ax-audit
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Publisher-provided title
AX Audit MCP Server
Publisher-provided description
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
Summary by lookupd
Audits a website's readiness for AI agents, returning a 0-100 score, grade, and agent-simulation results, with saved report retrieval.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ax-audit https://ainative.ax/mcp
Codex, remote (streamable-http)
codex mcp add ax-audit --url https://ainative.ax/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ax-audit": {
"url": "https://ainative.ax/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (3 tools)
Publisher-provided text
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.jsonrun_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 anget_reportFetch a full AX Audit report by the report_id returned from run_full_audit, without re-scanning the site. No authentication required.
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 554 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/AINative-Studio/ainative-ax
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