Self-hosted technical SEO audit MCP. 50+ checks, WAF detection, ephemeral. Built on LibreCrawl.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Run a complete on-site SEO audit on any website β straight from Claude, Cursor, Codex, or any Model Context Protocol (MCP) client. Unlimited pages Β· 50+ checks Β· PDF + CSVs Β· MIT-licensed Β· self-hosted Β· ephemeral by design.
Built on the open-source LibreCrawl engine, exposed through 38 MCP tools your AI assistant calls directly.
β‘ Install in 60s Β· πͺ What it does Β· π 50+ checks Β· π Compare Β· π Quick start
Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude, Cursor, or Codex call external tools. Think of it as "USB for AI assistants" β you plug a tool in, the AI can use it. librecrawl-technical-seo-audit-mcp is one of those tools. Once installed, you just ask your AI assistant to audit a site, and it does. No GUI. No dashboard. No exports.
New to all this?
That's the product. Your AI assistant runs a full technical SEO audit for you. You get a branded PDF + 7 CSVs covering 50+ technical checks, ready to hand a client. The server wipes everything the moment you download.
No flags to remember, no caps to set. Anyone who runs:
gets a full end-to-end audit by default:
Verified on real production sites: 1,942-page and 709-page WordPress sites, full coverage, origins healthy throughout.
Note: runs one audit at a time (single-tenant backend). For team use, queue audits sequentially β concurrent multi-audit routing is on the roadmap.
There are great desktop SEO crawlers (you know the ones). There are great cloud SEO suites. There was no AI-native crawler. librecrawl-technical-seo-audit-mcp fills that gap with five things no comparable open-source MCP server does:
38 MCP tools your agent calls directly. No GUI app to babysit, no SaaS dashboard to log into, no CSV exports to upload to ChatGPT. You just ask.
Most SEO MCP servers (SiteAudit MCP, AgentAEO, SE Ranking MCP) run synchronously and disconnect on sites over a few hundred pages. librecrawl-technical-seo-audit-mcp runs the crawl in a background worker thread, persists progress to SQLite WAL, and returns a session_id in under 2 seconds. Your agent polls a tiny status tool until done. 10,000-page enterprise sites work the same as 50-page blogs. Survives PM2 / MCP-client restarts mid-crawl.
Cloudflare, Akamai, DataDome, Imperva, and PerimeterX challenge pages are served as 200 OK but contain a JavaScript challenge instead of your content. Most crawlers report these as "page OK, all good". librecrawl-technical-seo-audit-mcp fingerprints the challenge in the response body and flags bot_block_challenge_detected. You see what's actually broken.
Additive-Increase / Multiplicative-Decrease β the same algorithm TCP congestion control uses. Error rate > 10% β halve chunk, double delay. p95 latency > 1.5Γ target β 1.5Γ delay. Clean signals β additive decrease. Polite by construction. No rate-limit blow-ups. No manual tuning. Respects robots.txt Crawl-Delay floor.
Once you download the zip, the server deletes the session row, every artifact file on disk, AND the upstream LibreCrawl crawl record. Per-audit server footprint after cleanup: 0 bytes, 0 rows. Auditing 50 client sites? Zero data persists where another operator could see it.
WeasyPrint, A4, page numbers, footer on every page. Open in any PDF viewer. No SaaS watermark. Hand it to a client as your work.
The installer asks 3 questions (target client, optional Google PageSpeed API key, optional GSC integration) and writes a ready-to-use MCP entry into your Claude / Cursor / Codex / Windsurf config. Done.
You don't need to be. If you can:
curl command aboveβ¦you're done. The installer handles Python, Docker, the LibreCrawl backend, and your AI client config. First-audit-to-zip is under 10 minutes from cold start.
Three ways to run: the one-liner above (guided installer) Β· Docker (full stack, one command β best for self-hosting/VPS) Β· manual (Python venv + your own backend). New here? Start with the one-liner.
Brings up both the LibreCrawl engine and the MCP server, wired together and health-gated, with one command. Requires Docker + Docker Compose.
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