Technical SEO in Claude: GSC + crawl + DataForSEO - audit, market sizing, content recon.
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io.github.houtini-ai/seo-audit-console is an MCP server that technical SEO in Claude: GSC + crawl + DataForSEO - audit, market sizing, content recon. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 59/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-houtini-ai-seo-audit-console": {
"args": [
"-y",
"@houtini/seo-audit-console"
],
"command": "npx"
}
}
}Are you the author?
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@houtini/seo-audit-console' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @houtini/seo-audit-console against OSV.dev.
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Others in marketing / browser
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
DataForSEO API modelcontextprotocol server
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
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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.
you › run an SEO audit on simracingcockpit.gg
⣾ search console 1.8M rows synced (19s - incremental)
⣾ crawl 868 pages · HTTP/2 · robots-polite · 8 parallel
⣾ link graph internal PageRank · click depth · in-degree
✓ 93 checks · 220 findings · ranked by expected clicks per dev-hour
#1 CTR far below position-expected /how-to-install-mods XL
#2 Page losing clicks (trend) site-wide XL
#3 Keyword cannibalisation "beamng drive mods" L
#4 Robots-blocked page earning traffic /category/wheels L
you › generate the fix for #1 ▍

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, DataFor |