Technical SEO audits in Claude: GSC + first-party crawl + DataForSEO. 93 prioritised checks + fixes.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
A technical SEO audit you can hold a conversation with - built from your own Search Console data and a live crawl of your site, run inside Claude.
The complete technical SEO audit, at conversation speed. SEO Audit Console is an SEO MCP server that merges your Google Search Console history, a first-party crawl of your site, and on-demand DataForSEO market data into one prioritised audit inside Claude - from crawlability, indexation, canonicalisation, structured data, Core Web Vitals and hreflang right through to keyword cannibalisation, striking-distance queries, content gaps, competitor analysis, link prospecting (with Majestic Trust Flow) and AI-search readiness. Ninety-three checks, every finding ranked by the clicks it could recover, every fix written for you: paste-ready redirects, JSON-LD, internal links and grounded content briefs. What used to be a fortnight of crawling, exporting and cross-referencing spreadsheets is twenty minutes and a prompt - and your data never leaves your machine.
Built by Houtini. We build automation for the grunt work of digital marketing - the data collection, the crawling, the merging, the checking - so your team's time goes on the thinking, the strategy and the client work that needs a human. This plugin is that idea applied to the technical SEO audit.
New to MCPs, or not sure where to start? The Getting started guide takes you from a completely fresh machine (no Node, no Git, never heard of a service account) to your first audit - every step screenshotted, including the one everyone misses. Ten minutes, honestly.

This README is the story and the quick start. The detail lives in the manual:
| Page | What's in it |
|---|---|
| Getting started | Install, the GSC service-account setup (and the step everyone misses), Claude Desktop and Claude Code config, your first audit, troubleshooting |
| Tool reference | Every tool: what it does, inputs, joins, an example prompt |
| The check registry | All 93 checks with what each catches, its D/N label, and the fix |
| Composition | The join keys, the grains, and thirteen worked recipes for asking your own questions across the data |
| Competitive analysis | The Semrush-replacement workflows, DataForSEO setup, link intersect with the Majestic Trust Flow tier, and the real costs |
| SEO Recon | Why a page is losing: the live SERP + AI-Overview citation verdict, the competitor diff, and the trackable to-do ledger |
| DataForSEO functions | Every DataForSEO-backed tool grouped by API module β Keywords, SERP, Labs, Backlinks, OnPage β each with its endpoint and cost |
| Majestic functions | The optional Trust Flow tier β what it adds and how link_intersect uses it |
| Dashboard & reports | The eight tabs, the report hub, what each chart shows, and the shareable export |
The technical audit I was writing for clients in 2006 is, structurally, the audit most agencies still sell today. A crawler runs, a template fills, a 60-page PDF lands. Everything a crawler could find, in severity order, with no idea which findings are worth money and which are cosmetic.
What has changed is what's possible. Google gives every site owner a complete record of its search reality - which queries, which pages, how many impressions, where you ranked. Your crawl tells you what your site says. Search Console tells you what Google did about it. And in my experience, the gap between those two datasets is where nearly all of the recoverable traffic hides.
So that's what I built. SEO Audit Console is a Model Context Protocol server that merges your Search Console history with a first-party crawl of your site (and, when you want it, DataForSEO) into one thing: a prioritised, evidence-backed audit you can interrogate inside Claude Desktop. It hands you paste-ready fixes. Every finding traces back to a real datapoint.
One idea underneath all of it:
Your crawl is intent. Search Console is reality. The money is where they diverge.
A flat crawler tells you a page 404s. Useful, but only just. This tells you the 404 is draining 15% of your homepage's internal PageRank, that the page used to earn 10,000 clicks a month, and it writes the 301 rule to fix it. It finds the page at position #3 on 150,000 impressions with a 0.2% click-through rate - a title rewrite probably worth thousands of clicks - and ranks that above the cosmetic findings. Severity is what crawlers sell you. Yield is what moves the numbers.
The SEO consultant who wants the collection and checking automated so the thinking time survives. The in-house marketer who's been quoted four figures for a commodity audit. And anyone newer to this who wants to learn what a good audit looks at - because every finding shows its evidence, the tool doubles as a teacher.
A note on where to run it. Claude Desktop is the easy start, but in my view Claude Code is the best home for this tool - because it closes the loop. In a chat client the audit hands you a 301 rule to paste somewhere. In Claude Code, the same session has your site's repo, a terminal and git: the audit finds the issue, writes the fix, applies it to the codebase, commits it, and re-crawls to verify. Finding to deployed fix, one conversation.
You don't need to learn an interface. You type "run an SEO audit on mysite.com" into Claude and it happens. Forget what's possible? Ask "run seo_audit_help" and you get the full menu with example prompts.
Yes. The crawl-plus-GSC merge is not a novelty; it's the method. On one property, seeding the crawl from Search Console URLs took coverage of GSC-known pages from 29% to 70% - every one of those extra pages is a page a conventional crawl silently missed, and several were earning traffic with no internal links pointing at them at all. On the same property the incremental sync turned a 33-minute data refresh into 19 seconds, which is the difference between "audit quarterly" and "audit whenever you're curious".
run_audit executes 93 checks over the joined data and returns a ranked list - not a wall of everything, a priority order with the traffic at stake attached to each finding. The families, briefly:
| Family | What it catches |
|---|---|
| Crawlability & indexation | Broken links, redirect chains, orphans, index bloat, spider-traps, robots-blocked pages still earning traffic, and the reason every URL isn't indexable |
| On-page & structured data | Titles, metas, H1s, alt text - plus a local validator covering ~30 rich-result types, required fields only, so it never nags about properties Google ignores |
| Trends (GSC over time) | Pages losing clicks, rankings slipping, vanished queries, rising pages worth doubling down on, stale content decaying year-on-year |
| The merged questions | Cannibalisation, striking distance, ghost pages, traffic to dead URLs, internal authority wasted on no-click pages, titles missing the query you already rank for |
| AI-search readiness | Phrases you rank for but never say, queries your copy never answers in one passage, content that doesn't chunk cleanly for retrieval |
Every check is labelled D (deterministic - here are the bytes) or N (judgement - off by default, ask for "the judgement findings" to see them). In my view a wrong finding is worse than no finding at all, so the heuristic checks have to ask permission. The full registry, check by check, is in the manual.
And if you grew up on Screaming Frog or Sitebulb, the dashboard's Site health tab will feel like home - response codes, indexability reasons, crawl depth, the heaviest images, server errors and slow pages, all as clean stat bars. Same diagnostics, except each one is sitting next to the Search Console numbers for the same URL. The tab-by-tab tour is in dashboard.md.
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