# Site Audit MCP Server (`steadfeed/steadfeed-site-audit-mcp`) Actor

MCP server for AI agents: schema/AI-readiness, accessibility, tech-stack, PageSpeed, AI-crawler access, page-change and pay-transparency posting audits, run through your own Apify account.

- **URL**: https://apify.com/steadfeed/steadfeed-site-audit-mcp.md
- **Developed by:** [Steadfeed](https://apify.com/steadfeed) (community)
- **Categories:** MCP servers, Developer tools, SEO tools
- **Features:** Limited permissions, Single-tenant, Server interface
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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.

| Tool | What it does | Underlying Actor | Price of that Actor |
|---|---|---|---|
| `audit_schema_ai_readiness` | JSON-LD, Open Graph, canonical, llms.txt, AI-crawler robots cues | [Schema & AI-Readiness Validator](https://apify.com/steadfeed/schema-ai-readiness-validator) | $0.003 / page |
| `audit_accessibility` | axe-core WCAG 2.x checks (static HTML) | [Accessibility WCAG / EAA Checker](https://apify.com/steadfeed/accessibility-wcag-checker) | $0.005 / page |
| `detect_tech_stack` | CMS, frameworks, analytics, tags, CDN | [Website Tech-Stack Detector](https://apify.com/steadfeed/website-tech-stack-detector) | $0.002 / domain |
| `audit_pagespeed` | Lighthouse via Google PageSpeed Insights, URLs / sitemap / crawl, mobile + desktop. Needs your free Google API key | [Bulk PageSpeed Audit](https://apify.com/steadfeed/bulk-pagespeed-audit) | $0.004 / audit |
| `audit_ai_crawler_access` | Can ChatGPT, Perplexity, Claude, Apple, Google AI crawlers reach the site? | [AI Crawler Access Auditor](https://apify.com/steadfeed/ai-crawler-access-auditor) | $0.005 / site |
| `monitor_page_changes` | New / unchanged / changed with a plain-words summary and noise filtering | [Page Change Monitor](https://apify.com/steadfeed/page-change-monitor) | $0.002 / page |
| `monitor_pay_transparency` | Check job postings for pay-range disclosure issues (potential issues for human review, sources kept) | [Pay Transparency Compliance Monitor](https://apify.com/steadfeed/pay-transparency-compliance-monitor) | $0.02 / posting check |

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).

### 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](https://console.apify.com/settings/integrations)):

```json
{
  "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)

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

Or from source: `npm install && APIFY_TOKEN=... npm run stdio`.

### 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`.
- Calls run synchronously and time 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; the token is only forwarded to the Apify API for the run you asked for.
- Not affiliated with Apify, Google or any AI vendor.

# Changelog

This Actor's version history is a separate document: https://apify.com/steadfeed/steadfeed-site-audit-mcp/changelog.md

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

## `server` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("steadfeed/steadfeed-site-audit-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("steadfeed/steadfeed-site-audit-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call steadfeed/steadfeed-site-audit-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,steadfeed/steadfeed-site-audit-mcp"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kiqXFJfaktfnRXoxt/builds/11wHrCevRlkP6OTS2/openapi.json