Site Audit MCP Server

Give your AI agent (Claude, Cursor, VS Code, ChatGPT-style MCP clients, n8n, custom agents) a set of website-audit tools. Each tool runs one of public Apify Actors on your own Apify account, so you see every run and every cost in your Apify console.

Only public pages are checked. Nothing logs in, bypasses paywalls or bot protection. Results are informational: they are not a legal compliance certificate, a ranking prediction or a guarantee of AI-search citations.

Cost

• The underlying Actor's normal pay-per-event price (table above), billed to your Apify account.

• Plus this server's own fee on the hosted version: $0.001 per successful tool call (and a $0.00005 start event). Running the open-source package locally (below) has no wrapper fee.

• Every call has a hard spend cap (maxTotalChargeUsd) sized from the number of URLs (minimum $0.05, Apify's per-run minimum, so a one-page check can never cost more than $0.05). Override it with maxCostUsd ($0.05 to $5).

• Add dryRun: true to preview with sample data at near-zero cost (not available for the AI-crawler and page-change tools).

Related MCP server: foglift-mcp

Connect (hosted, no install)

Use the Actor's Standby URL (shown in the Server / API tab, https://steadfeed--steadfeed-site-audit-mcp.apify.actor/mcp) with your Apify API token (create one):

{
  "mcpServers": {
    "steadfeed-site-audit": {
      "url": "https://steadfeed--steadfeed-site-audit-mcp.apify.actor/mcp",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_API_TOKEN>" }
    }
  }
}

Run locally (open source, MIT; runs straight from GitHub, no npm package)

{
  "mcpServers": {
    "steadfeed-site-audit": {
      "command": "npx",
      "args": ["-y", "github:steadfeed-dev/steadfeed-site-audit-mcp"],
      "env": { "APIFY_TOKEN": "<YOUR_APIFY_API_TOKEN>", "GOOGLE_PSI_API_KEY": "<optional, for audit_pagespeed>" }
    }
  }
}

Or clone and run it yourself: git clone https://github.com/steadfeed-dev/steadfeed-site-audit-mcp && cd steadfeed-site-audit-mcp && npm install, then point your MCP client at node /path/to/steadfeed-site-audit-mcp/src/stdio.js with APIFY_TOKEN in the environment.

Example prompts

• "Audit https://example.com and https://example.com/pricing for structured data and AI readiness, then tell me the three highest-impact fixes."

• "Can AI crawlers read our site? Check example.com."

• "Run an accessibility check on our checkout and landing pages and group the issues by severity."

• "Watch these 5 competitor pricing pages and tell me what meaningfully changed since last time" (call monitor_page_changes again with the same watchlistId).

Notes and limits

• Stateless Streamable HTTP; the hosted endpoint is POST /mcp.

• Each call waits for the audit run and times out after 240 s; split very large lists. A very large result is truncated with a note.

• The server never stores or logs your token or Google key. Locally, your APIFY_TOKEN is used only to start the run you asked for. On the hosted version, the Actor runs in your own Apify account (single-tenant) and uses that run's own credentials, so you see the server run and the audit runs in your Runs tab; the server run idles for up to 5 minutes after the last request, which uses a small amount of platform compute on your account.

• Not affiliated with Apify, Google or any AI vendor.