SEO & Web Analysis MCP Server

Lighthouse audits, PageSpeed analysis, SSL checks, tech stack detection, WHOIS and DNS queries

Документация

SEO & Web Analysis MCP — Crawl, Tech & DNS for Agents (`nexgendata/seo-web-analysis-mcp-server`) Actor

MCP server exposing on-page crawl, tech-stack detection, DNS, SSL and WHOIS as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.

URL: https://apify.com/nexgendata/seo-web-analysis-mcp-server.md
Developed by: NexGenData (community)
Categories: AI, SEO tools, MCP servers
Stats: 7 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks
User rating: No ratings yet

Pricing

from $20.00 / 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/platform/actors/running/actors-in-store#pay-per-event

What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. Actors are written with capital "A".

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. The best way to integrate Actors is as follows.

AI agents and MCP clients — the Apify MCP server at https://mcp.apify.com (remote, streamable HTTP, OAuth on first use).
Agentic workflows and local Actor development — Agent Skills with the Apify CLI: npm install -g apify-cli, then apify login.
JavaScript/TypeScript projects — the official JS/TS client: npm install apify-client.
Python projects — the official Python client: pip install apify-client.
Any other language — the REST API.

For usage examples, see the API section below.

For more details, see Apify documentation as Markdown index and Markdown full-text.

README

SEO & Web Analysis MCP

A Model Context Protocol server that gives AI agents SEO and site-analysis tools — on-page crawl, tech-stack detection, DNS, SSL and WHOIS — as callable tools. For SEO, audit and recon agents.

🛠 Tools (5)

check_dns — DNS records for a domain.
check_ssl — SSL/TLS certificate details.
crawl_website — Crawl a site for on-page SEO data.
detect_tech_stack — Detect a site's technology stack.
lookup_whois — WHOIS registration data for a domain.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "seo-web-analysis": {
      "url": "https://nexgendata--seo-web-analysis-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Crawl a site for on-page SEO issues and detect its technology stack.

Pricing: $0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

🔍 SEO & Web Analysis MCP Server by NexGenData

Connect AI agents to website and domain analysis data through the Model Context Protocol (MCP). This server exposes a focused set of web-intelligence tools that LLM-powered applications like Claude, ChatGPT, Cursor, and Cline can call directly, returning clean JSON.

What This MCP Server Does

This MCP server exposes web and domain analysis tools that any MCP-compatible AI client can call. Instead of building API integrations or scraping code, your agent can crawl a website, detect its tech stack, and inspect its DNS, SSL, and WHOIS records through tool calls. The server handles extraction, rate limiting, and response formatting.

Available Tools

This MCP server exposes 5 tools:

crawl_website — crawl a website and return page content / structure
detect_tech_stack — identify technologies used by a site
check_dns — look up DNS records for a domain
check_ssl — inspect a domain's SSL/TLS certificate
lookup_whois — retrieve WHOIS registration data for a domain

Each tool accepts structured parameters and returns JSON that AI agents can parse and chain together for multi-step workflows.

Who Uses This

AI developers building agents that need website and domain analysis
Automation platforms connecting AI agents to structured web data
Research and ops teams using AI assistants for site and domain checks

Getting Started

This actor runs in standby mode and exposes an MCP endpoint. Configure your MCP client (Claude Desktop, Cursor, Cline, or a custom agent) with the server endpoint URL and your Apify API token. The server auto-discovers the available tools.

FAQ

Is this compatible with Claude Desktop? Yes. Any MCP-compatible client can connect, including Claude Desktop, Cursor, Cline, and custom LLM agents.

Do I need separate API keys? No. You only need your Apify API token to connect.

Can I use this in production? Yes. The server runs on Apify's scalable infrastructure with built-in monitoring, logging, and error handling.

🔗 Related NexGenData MCP Servers

Use case	Actor
Web-scraping MCP (any URL, AI agents)	web-scraping-mcp-server
Domain intelligence MCP (DNS / WHOIS / SSL)	domain-intelligence-mcp-server
Developer tools MCP	developer-tools-mcp-server
Reddit MCP (audience research)	reddit-mcp-server

Browse the full NexGenData catalog at https://apify.com/nexgendata

Actor input Schema

Actor input object example

{}

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

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("nexgendata/seo-web-analysis-mcp-server").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

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("nexgendata/seo-web-analysis-mcp-server").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

echo '{}' |
apify call nexgendata/seo-web-analysis-mcp-server --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/seo-web-analysis-mcp-server"
        }
    }
}

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/iS91cqk3mFTWub23X/builds/J6bA3sUnkjmmU14PH/openapi.json