AX Audit MCP Server
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"ax-audit": {
"url": "https://ainative.ax/mcp"
}
}
}遠端端點
https://ainative.ax/mcpstreamable-http它能做什麼
工具清單
工具（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.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to scan, e.g. https://example.com"
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢run_full_audit(url, industry)
Run the full AX Audit on a URL — the same real AR-* checks as scan_site (the exact check count grows over time, so it is intentionally not pinned here), plus an agent-simulation task (e.g. "find pricing") and an industry benchmark percentile, with the result persisted server-side. Returns a report_id that can be used to retrieve the same report later without re-scanning. No authentication required.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to scan, e.g. https://example.com"
},
"industry": {
"description": "Industry to benchmark against, e.g. saas. Defaults to \"saas\".",
"type": "string"
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}社群
證據