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  3. Librecrawl β€” Technical SEO Audit MCP Server
Librecrawl β€” Technical SEO Audit MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 2:01:25 AM

Librecrawl β€” Technical SEO Audit MCP Server

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository40 GitHub StarsTotal stargazers on GitHub for the source repository (40 stars).Visit Website

Self-hosted technical SEO audit MCP. 50+ checks, WAF detection, ephemeral. Built on LibreCrawl.

Quick Install

Automated & IDE Setup

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 isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Librecrawl β€” Technical SEO Audit MCP Server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Documentation Overview

πŸ•·οΈ librecrawl-technical-seo-audit-mcp

MCP Toplist

The AI-native technical SEO crawler.

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.

License: MIT MCP Compatible Python 3.10+ Latest Release GitHub stars Built on LibreCrawl

Works With Works With Works With Works With Works With Works With

⚑ Install in 60s Β· πŸͺ„ What it does Β· πŸš€ 50+ checks Β· πŸ†š Compare Β· πŸ“– Quick start


πŸ“‘ Table of contents

  • What is an MCP?
  • The whole pitch in 4 lines
  • One command = a complete audit
  • Why this exists
  • Install in 60 seconds β€” one-liner Β· Docker Β· manual
  • 50+ checks every audit
  • Feature comparison
  • What every audit produces
  • Your first audit
  • How it works Β· Architecture
  • Configuration
  • 38 MCP tools
  • Documentation
  • Roadmap
  • License & credits

πŸ€” Don't know what an MCP is? Read this 30-second explainer

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?

  • Don't have Claude Code yet? β†’ Install Claude Code (free for individuals).
  • Prefer Cursor? β†’ Get Cursor.
  • Already have one of those? β†’ Skip to Install in 60s.

πŸͺ„ The whole pitch in 4 lines

Code
You:    Audit https://acme.com β€” full site, no caps, give me the zip
Agent:  β†’ librecrawl_start_chunked_audit Β· polls until done Β· saves zip locally
You:    Show me broken pages + broken external links + hreflang errors
Agent:  β†’ reads CSVs, prints filtered tables. Server already forgot the audit.

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.


βœ… One command = a complete audit (v2.2.0)

No flags to remember, no caps to set. Anyone who runs:

Code
librecrawl_start_chunked_audit(url="https://yoursite.com")

gets a full end-to-end audit by default:

  • Every page β€” entire sitemap crawled, including orphan pages not linked from the homepage
  • Every page's text β€” readability, AI-tells, boilerplate analyzed word-by-word
  • Every outbound link β€” every domain (yours, third-party, social, CDN) HTTP-validated for broken links
  • No silent dropping β€” per-page checks + link validation cover 100% of pages; the report states exactly what was covered
  • Heavy sites safe β€” 4–5 MB pages crawl fine; Screaming-Frog-grade politeness never overloads the origin
  • Zero history β€” the server forgets the entire audit the moment you download the zip; re-scan anytime, nothing persists

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.


πŸ”₯ Why this exists

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:

⚑ It runs inside your AI assistant

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.

πŸš€ Chunked-progressive crawler that never times out

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.

πŸ›‘οΈ Catches WAF challenges other crawlers silently misreport

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.

πŸ€– An AIMD controller tunes crawl delay live

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.

🧹 Ephemeral by design β€” the agency-safe default

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.

πŸ“„ Branded PDF reports ready to hand a client

WeasyPrint, A4, page numbers, footer on every page. Open in any PDF viewer. No SaaS watermark. Hand it to a client as your work.


⚑ Install in 60 seconds

Terminal
curl -fsSL https://raw.githubusercontent.com/adityaarsharma/librecrawl-technical-seo-audit-mcp/main/install.sh | bash

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.

What if I'm not a developer?

You don't need to be. If you can:

  1. Open a terminal (macOS: Cmd+Space β†’ "Terminal" Β· Windows: Win+R β†’ "powershell")
  2. Paste the curl command above
  3. Answer 3 yes/no questions

…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.

🐳 Run the full stack with Docker (recommended for self-hosting)

Brings up both the LibreCrawl engine and the MCP server, wired together and health-gated, with one command. Requires Docker + Docker Compose.

bash
git clone https://github.com/adityaarsharma/librecrawl-technical-seo-audit-mcp.git
cd librecrawl-technical-seo-audit-mcp
docker compose up --build          # MCP at http://127.0.0.1:5081/mcp

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
40
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Librecrawl β€” Technical SEO Audit MCP Server

We don't have a confirmed install command for Librecrawl β€” Technical SEO Audit MCP Server yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/adityaarsharma/librecrawl-technical-seo-audit-mcp) for the current steps.

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
Last updatedJul 28, 2026
11/15 checks healthy over the last 46d
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars40
GitHub Star CountTotal stargazers on GitHub representing community popularity (40 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 28, 2026
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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