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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

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.

README.md

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

atomno-mcp-seo-audit

![PyPI](https://pypi.org/project/atomno-mcp-seo-audit/) ![Python](https://pypi.org/project/atomno-mcp-seo-audit/) ![License: MIT](LICENSE) ![MCP](https://modelcontextprotocol.io)

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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