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atomno-mcp-seo-audit

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atomno-mcp-seo-audit

PyPI Python License: MIT MCP

MCP (Model Context Protocol) server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent in Cursor, Claude Desktop or any MCP client — get a health score, issues across 8 categories, and a GEO (Generative Engine Optimization — visibility in AI search) sub-score.

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.

  • 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).

Related MCP server: foglift-mcp

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)

Get a PRO key in the detail.web dashboard → Account → API keys.

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-labs. The open-source client talks to a proprietary hosted backend.

Install Server
A
license - permissive license
A
quality
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
0dRelease cycle
2Releases (12mo)
Commit activity

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