AX Audit MCP Server
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"ax-audit": {
"url": "https://ainative.ax/mcp"
}
}
}Remote endpoints
https://ainative.ax/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢scan_site(url)
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 pinned here). Returns a 0-100 score, a letter grade, and a per-check breakdown. No authentication required.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to scan, e.g. https://example.com"
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢run_full_audit(url, industry)
Run the full AX Audit on a URL — the same real AR-* checks as scan_site (the exact check count grows over time, so it is intentionally not pinned here), plus an agent-simulation task (e.g. "find pricing") and an industry benchmark percentile, with the result persisted server-side. Returns a report_id that can be used to retrieve the same report later without re-scanning. No authentication required.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to scan, e.g. https://example.com"
},
"industry": {
"description": "Industry to benchmark against, e.g. saas. Defaults to \"saas\".",
"type": "string"
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence