atomno-mcp-seo-audit

atomno-mcp-seo-audit

MCP server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent to get a health score, issues across 8 categories, and a GEO sub-score.

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README

<!-- mcp-name: io.github.atomno-mcp/mcp-seo-audit -->

atomno-mcp-seo-audit

PyPI Python License: MIT MCP

MCP (Model Context Protocol) server for technical SEO & GEO audits, powered by the detail.web engine — real measurements, not LLM guesses. Run it from Cursor, Claude Desktop or any MCP client. 8 tools: audit_site (deterministic 0–100 health score + letter grade, 78 checks across 8 categories, plus a GEO sub-score — visibility in ChatGPT / Perplexity / Google AI Overviews), audit_diff (compare vs the previous snapshot), robots.txt & sitemap.xml validators, JSON-LD & meta/OpenGraph builders, and per-check fix explainers. Probes TLS, redirects, TTFB, AI-crawler access (GPTBot) and llms.txt. Free tier + PRO (deep-crawl, GEO, 40+ deeper checks).

Why pair it with an LLM?

A language model on its own infers a site from training data and, at best, one rendered page — it can't directly read your TLS certificate's expiry, measure response time, parse sitemap.xml, or check whether GPTBot is blocked in robots.txt. This server runs those checks for real: actual HTTP requests, security headers, redirect chains, structured-data validation — and returns a deterministic score (same site → same number), reproducible enough to put in a client report. Think of it as the instrument and the LLM as the analyst that interprets the readout — the two work best together.

What you get

  • audit_site(url, depth=1, lang="ru") — one call returns:
    • health score 0–100 (higher is better) and a letter grade A–F;
    • issues grouped by category (security, SEO & indexing, performance, GEO, …), each with status pass / warn / fail;
    • a short human-readable summary.
  • audit_diff(url, lang="ru") — re-audits a site and compares it to the previous run: health/score delta and which checks got worse or better. The first call stores a baseline. This is something a one-off LLM question can't do — track a site over time. Stateful PRO feature (needs an API key).
  • list_checks(lang="ru") — the full catalogue of engine checks grouped by category, with a free / PRO badge on each — so you (and the agent) can see exactly what the free tier covers and what PRO unlocks.
  • explain_issue(check_id, lang="ru") — a deep-dive on a single check: why it matters and how to fix it. Pass a check_id from audit_site or list_checks. Title and category are localized; detailed advice is currently in Russian (the advice_lang field reports this).
  • validate_robots(content, lang="ru") — paste a robots.txt and get back syntax issues, whether a Sitemap: directive is present, whether CSS/JS is blocked from render bots, and which AI crawlers (GPTBot, ClaudeBot, …) are explicitly blocked. No fetch — validates the text you provide.
  • check_sitemap(url, lang="ru") — fetches a sitemap by URL and reports its format (urlset / sitemapindex), URL count and common problems (404, non-XML content type, http:// links, missing <lastmod>, the 50k-per-file limit). The fetch is SSRF-guarded on the server.
  • build_jsonld(type, fields, lang="ru") — generates a ready-to-paste schema.org JSON-LD <script> (Organization, LocalBusiness, Article, Product, FAQPage, BreadcrumbList, WebSite) and tells you which required/recommended fields are missing. It never invents data — only what you pass in.
  • build_meta(fields, lang="ru") — generates <head> meta tags (title, description, canonical, Open Graph, Twitter Card) and validates the title (50–60 chars) and description (120–160 chars) lengths.

Free vs PRO

Free (no key) PRO (with API key)
Checks core technical basics 40+ deeper checks (E-E-A-T, Schema.org, Goldmine title)
GEO 4 GEO signals GEO readiness sub-score + deep GEO checks
Crawl single page deep-crawl up to 20 pages (depth=2/3)

The audit engine itself stays on the server — this package is a thin client (HTTP calls + formatting only).

Install

uvx atomno-mcp-seo-audit

Or add to your MCP client config (mcp.json):

{
  "mcpServers": {
    "seo-audit": {
      "command": "uvx",
      "args": ["atomno-mcp-seo-audit"]
    }
  }
}

Configuration

All via environment variables:

Variable Default Purpose
DETAILWEB_API_BASE https://api.detailweb.ru Backend base URL
DETAILWEB_API_KEY — PRO key (dwa_...). Without it → free tier
DETAILWEB_TIMEOUT 60 HTTP timeout (seconds)
DETAILWEB_LANG ru Default issue-title language (ru / en)

The free tier needs no key and no signup — just run the command above. The PRO tier (40+ deeper checks, GEO sub-score, deep-crawl, audit_diff) is currently provisioned on request: email kir@detailweb.ru or reach out via audit.detailweb.ru. Once your account is active you create keys yourself in Dashboard → Account → API keys (dwa_…, shown once) and put the key in DETAILWEB_API_KEY.

Example

"Audit https://example.com"

The agent calls audit_site("https://example.com") and gets back the health score, grade and the list of issues to fix.

License

MIT © atomno-mcp. The open-source client talks to a proprietary hosted backend.

🇷🇺 На русском

MCP-сервер технического SEO-аудита на движке detail.web. Запускайте аудит прямо из ИИ-агента (Cursor, Claude Desktop и любой MCP-клиент): health-score, проблемы по 8 категориям и GEO-суб-балл (видимость в ИИ-поиске — ChatGPT, Perplexity, AI Overviews).

Зачем в связке с нейросетью. Языковая модель сама по себе судит о сайте по обучающим данным и в лучшем случае по одной отрисованной странице — она не прочитает напрямую срок SSL-сертификата, не измерит время ответа, не распарсит sitemap.xml и не проверит, заблокирован ли GPTBot в robots.txt. Этот сервер выполняет такие проверки по-настоящему: HTTP-запросы, заголовки, редиректы, микроразметка — и даёт детерминированный score (тот же сайт → то же число), пригодный для отчёта клиенту. Это прибор, а нейросеть — аналитик, который читает показания. Лучше всего работает связка.

Инструменты: audit_site (аудит + score + GEO), audit_diff (что изменилось с прошлой проверки — stateful PRO), list_checks (каталог проверок free/PRO), explain_issue (почему важно + как исправить), validate_robots, check_sitemap, build_jsonld, build_meta.

Установка:

uvx atomno-mcp-seo-audit

В конфиге MCP-клиента (mcp.json):

{
  "mcpServers": {
    "seo-audit": {
      "command": "uvx",
      "args": ["atomno-mcp-seo-audit"],
      "env": { "DETAILWEB_LANG": "ru" }
    }
  }
}

Бесплатный тариф (базовые проверки, одна страница) работает сразу, без ключа и регистрации. PRO-режим (40+ глубоких проверок, GEO-суб-балл, deep-crawl до 20 страниц, audit_diff) пока выдаём по запросу: напишите на kir@detailweb.ru или через audit.detailweb.ru. После активации аккаунта ключ (dwa_…) создаётся в кабинете → Аккаунт → API-ключи (показывается один раз) и подставляется в DETAILWEB_API_KEY в env. Полное описание инструментов и настроек — в английской версии выше.

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