SEO & Web Analysis MCP Server
Аудиты Lighthouse, анализ PageSpeed, проверки SSL, определение технологического стека, WHOIS и DNS-запросы
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: 9 total users, 2 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/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 section below.
Each client library has reference documentation the quickstart does not restate: JavaScript/TypeScript (npm install apify-client) and Python (pip install apify-client).
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 / structuredetect_tech_stack— identify technologies used by a sitecheck_dns— look up DNS records for a domaincheck_ssl— inspect a domain's SSL/TLS certificatelookup_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/bYAuXzAZieqgmMOlv/openapi.json