MCP server
AuditAE SEO MCP Official
app.auditae/mcp
Checked 26 Oct 2026, 08:29 UTC · It answered and asked for a sign-in
SEO MCP: Search Console, GA4, SERP and domain data, rank tracking, AI citations and site fixes.
Signs in with your accountVerified publisher: auditae.app39 tools
https://auditae.app/api/mcp
At a glance
- Type
- MCP server
- Publisher
- auditae.app (verified by the MCP Registry)
- Status
- Signs in with your account
- Tools
- 39
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http auditae https://auditae.app/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.auditae] url = "https://auditae.app/api/mcp"
Gemini CLI
{"mcpServers":{"auditae":{"httpUrl":"https://auditae.app/api/mcp"}}}
Cursor
{"mcpServers":{"auditae":{"url":"https://auditae.app/api/mcp"}}}
VS Code
{"servers":{"auditae":{"type":"http","url":"https://auditae.app/api/mcp"}}}
Antigravity
agy mcp add auditae https://auditae.app/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"auditae","server_url":"https://auditae.app/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"auditae","server_url":"https://auditae.app/api/mcp"}
Signs in with your account: your agent app opens a sign-in page the first time you use it.
Tools
add_site~237 tokens
Create (or update) a site in the agent workspace and return its site_id, for the tools that take one (explore_llm_mentions, explore_web_mentions, mine_competitor_prompts, find_content_gap, crawl_site, detect_tech_stack, get_backlink_summary, submit_urls, schedule_recheck). Creates the workspace on fcancel_recheck~206 tokens
Remove a recheck created by schedule_recheck before it fires. A pending recheck hasn't been charged anything, so there is nothing to refund. One that has already fired can't be cancelled — its checks bill as they run — and returns error already_ran with its audit_id. Billing: free. Returns { rechecheck_agent_readiness~653 tokens
Score a site 0–100 on agent readiness: whether an AI assistant acting for a buyer can reach it, read what it sells and at what price, and find its machine interfaces. Billing: free. Fetches ~10–14 URLs on the target site; takes 5–15 s. Cached 10 min per URL; 30 uncached checks per hour per host. Ccheck_ai_crawlers~393 tokens
Read a site's robots.txt and report, for each AI crawler and assistant (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User, PerplexityBot, Perplexity-User, Google-Extended, Applebot-Extended and more), whether it may crawl the site, with the deciding rule. Also requests the homepage as a fecheck_brand_citation~800 tokens
Ask one prompt of AI answer engines and report, per engine, whether the brand's URL was cited, whether and where the brand was named, which competitors were named, the cited sources and the sentiment. The run is saved as an audit. Billing: 5–12¢ per engine check plus the fix-it playbook — Perplexitcheck_citation_free~518 tokens
Ask one buyer question of ChatGPT, Perplexity, Gemini and Google AI Overviews and report, per engine, whether the brand's site is cited as a source, whether the brand is named, and who is named instead. Returns a shareable report link. Billing: free — one fresh check per connection per day (repeatscheck_llms_txt~291 tokens
Fetch a site's /llms.txt and validate it against the llms.txt format: served as plain text, an H1 title, summary, sections of links with descriptions, links that resolve. Reports each finding by line with its severity. Billing: free. Inputs: domain — hostname or URL. Returns { url, status, missincompare_crawls~784 tokens
Compare two crawl_site runs of a site: the Site Health and theme score changes, and per check how many issues are new and how many were fixed, plus pages added, removed or changed status, and robots.txt rule changes. Billing: free — compares stored crawls; nothing is fetched. Defaults to the site'crawl_siteBrowses the web · ~1484 tokens
Crawl a whole site and audit it: the homepage, the sitemap and every internal link (robots.txt respected), up to max_pages, then 170+ Semrush-style checks graded error / warning / notice, a Site Health score (0–100) and 9 theme scores (crawlability, HTTPS, international SEO, Core Web Vitals, performcreate_top_up_link~323 tokens
Create a one-time Stripe Checkout link that adds prepaid credit to this AuditAE workspace. Nothing is charged by this call: give the returned url to the user, who opens it and pays by card. Credit lands within seconds of payment; call get_balance to confirm. Billing: free — the user pays only if thdetect_tech_stack~354 tokens
Detect the technology a site runs on (CMS, ecommerce platform, analytics, JavaScript frameworks, CDN, servers, and hosting such as Vercel, Netlify or Heroku) via DataForSEO Domain Analytics, and cache it on the site. Use it to tailor fix instructions to the platform (WordPress vs Shopify vs Webflowdiscover_brand_entities~725 tokens
Find a brand's Wikidata entity and return the URLs to use in Organization.sameAs: the Wikidata page, English Wikipedia, X/Twitter, LinkedIn company, Crunchbase, GitHub, YouTube, Facebook, Instagram, plus its official site and Google Knowledge Graph entity. Billing: free — Wikidata's public API, noexplore_llm_mentions~704 tokens
Hits DataForSEO's LLM Mentions corpus to return the observed AI prompts where a target shows up: the LLM answer, its cited sources (with position + publication date), and a 12-month volume trend. Covers Google AI Overviews (worldwide) + ChatGPT (US/EN). Different from live engine audits — this is aexplore_web_mentions~540 tokens
Hits DataForSEO's Content Analysis index to return open-web content (news, blogs, forums, ecommerce, organizations) that mentions a brand/keyword, each tagged positive / negative / neutral. The web-side companion to explore_llm_mentions (AI answers) — together they give full share-of-voice across AIextract_competitors_from_text~373 tokens
Given an arbitrary block of text and a brand of interest, return the list of competitor brand names mentioned (excluding the brand itself, and the AI assistants and search engines the text cites as sources, such as ChatGPT or Perplexity) and the sentiment toward the brand (positive | neutral | negatfind_content_gap~649 tokens
Pull DataForSEO Labs domain_intersection for (site_domain, competitor_domain) and return the keywords the competitor ranks for in Google search that the user's site doesn't — plus keywords where the competitor outranks the user. Sibling SKU to mine_competitor_prompts: that one is AI-engine citationgenerate_schema~1098 tokens
Build a complete schema.org JSON-LD object for Article, BlogPosting, HowTo, FAQPage, Product, Organization, BreadcrumbList, WebSite, SoftwareApplication, Service or LocalBusiness from a few fields, then validate it. Billing: free — deterministic, no network, no LLM tokens. Returns: { schema, validget_audit~797 tokens
Read an AuditAE audit's stored results, per prompt and engine: brand URL cited or brand named, competitors cited or named, the cited URLs; plus summary rates, the audit's playbook and a shareable report_url. Asks no engine. Billing: free; works at a zero balance. When to call: before paying for neget_backlink_summary~395 tokens
Return a domain's off-page authority from DataForSEO's backlink index: domain rank, total backlinks, referring domains, dofollow referring domains, spam score and broken backlinks. A major driver of why competitors out-rank and out-cite a site. Without `domain` it checks the site (cached on it for 2get_balance~409 tokens
Return the current prepaid credit balance for this AuditAE workspace, the price of one check on each engine, roughly how many checks the balance covers per engine, and the auto-refill setup. Billing: free — works at a zero balance. When to call: before a large paid run (get_share_of_voice across mget_changes~719 tokens
What moved for a site: first its weekly briefing, if any (this week's moves and up to 5 priced fixes); then, since the previous check, per buyer question and engine, where the brand gained or lost a citation (its URL among the sources), and for a lost one the domains cited instead and competitors naget_competing_domains~468 tokens
The domains competing with any domain in Google: who ranks for the most of the same keywords, how many they share, their average position on those, and each competitor's own organic keyword count and estimated traffic. Big generic sites (Google, YouTube, Wikipedia…) are left out. DataForSEO's Googleget_crawl_issue~856 tokens
Read one check from a site's latest crawl_site run (or run_id): what it means, why it matters, how to fix it, which MCP tools fix it, and the affected URLs with evidence, paginated. check_id comes from crawl_site / get_latest_crawl checks[].id. Billing: free — reads the stored crawl; nothing is fetget_domain_keywords~539 tokens
The Google keywords any domain ranks for (its own site or a competitor's), ordered by the traffic each sends: position, ranking URL, monthly search volume, CPC, keyword difficulty and search intent, plus the domain's totals — organic keyword count, estimated monthly organic traffic and its ad value,get_fix_plan~754 tokens
Turn the site's AuditAE audits into a ranked list of exact changes that get the brand cited by AI engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) instead of competitors — sentences to rewrite, FAQs, title and meta, JSON-LD, missing pages — for any website. Billing: 50¢ per plan. Free (chget_keyword_metrics~433 tokens
Metrics for up to 60 keywords in one call: monthly Google search volume, the last 12 months, the trend (month, quarter, year), CPC, ad competition, keyword difficulty (0–100) and search intent. For new keyword ideas around a topic use keyword_research instead. Billing: 10¢ per call (1–60 keywords).get_latest_crawl~1053 tokens
Read a site's latest crawl_site run (or run_id): Site Health 0–100, theme scores, every failing check, what wasn't checked and problem pages. Billing: free — reads the stored run; nothing is fetched. Staleness: a run older than 30 days, or made before the crawler fixes of 2026-09-24, has stale: trget_recheck~656 tokens
Read a recheck created by schedule_recheck. Before it runs: its status and run_at. Once it has run: per prompt and per engine, before (the baseline audit) vs after (the recheck) — which prompts the brand gained or lost a citation on (its URL among the answer's sources) and gained or lost a mention oget_serp~472 tokens
Live Google results for any keyword in a country: the organic top 10–30 (position, domain, URL, title, snippet), whether an AI Overview shows and which domains it cites, the featured snippet owner, People Also Ask questions and the SERP features present. Billing: 5¢ per call. Not billed when nothinget_share_of_voice~908 tokens
Ask up to 25 prompts of AI answer engines and count how often each tracked domain — the brand's plus its competitors' — is cited as a source. Returns per-domain cite counts and share-of-voice percentages; the run is saved as an audit (read it per prompt with get_audit, free). Billing: 5–12¢ per englist_sites~613 tokens
Return every active site in this AuditAE workspace: its site_id, domain, brand, name, the competitor domains tracked for it, when it was added, its latest completed citation audit (with a shareable report_url), and its paired WordPress connection. Billing: free — a read-only lookup; works at a zeromine_competitor_prompts~689 tokens
Surface the AI-engine prompts where competitor domains were URL-cited in this site's audit history but the site was NOT — for one competitor, or every competitor on the site at once. Covers the site's audits and those run through the MCP for its domain (check_brand_citation, get_share_of_voice, rechmonitor_citations~739 tokens
Turn on, change or pause recurring citation monitoring for a site: AuditAE re-asks its buyer questions on ChatGPT, Perplexity, Gemini and Google AI Overviews every week (or month), keeps every answer, and emails the account owner when the brand gains or loses a citation. Read what moved with get_chaoptimize_image~993 tokens
Shrink images for page speed: fetch each one as the Site Audit crawler does, resize it to max_width (never enlarging), compress it to WebP (or keep its type, with format "original" and by default where the file is replaced in place) and step it down toward the 200 KB large_images limit without visibrun_technical_audit~800 tokens
Fetch one page (a domain's homepage, or `url`) and report its meta tags, JSON-LD schema types, headings, robots.txt (sitemaps, and which AI crawlers like GPTBot and ClaudeBot it blocks site-wide), whether /llms.txt is served, and Core Web Vitals from PageSpeed Insights (PSI), mobile and desktop. Bischedule_crawlBrowses the web · ~1666 tokens
Turn on, change or stop a site's automatic re-crawl: weekly on a weekday or monthly on a day (1–28), at a fixed hour between 05:00 and 10:00 UTC. Each run crawls up to max_pages like crawl_site, scores it, compares it with the crawl before (compare_crawls reads the diff) and emails the owner a summaschedule_recheck~932 tokens
Schedule a one-time re-run of prompts for a site, N days from now, to see whether published fixes got the brand cited — typically get_fix_plan's verify_prompts, with its audit_id as the baseline. Nothing runs or bills now. Billing: free to schedule; when it runs, 5–12¢ per engine check (33¢ per prosubmit_urls~740 tokens
Submit new or changed URLs on one of the org's sites to IndexNow (api.indexnow.org), which notifies Bing, Yandex, Naver and Seznam so they can re-crawl them sooner (each engine decides when; not a guarantee of indexing). Google doesn't use IndexNow. Bing's index is one of the sources ChatGPT searchvalidate_schema~618 tokens
Check a schema.org JSON-LD object before it ships: the top-level node, every @graph node, and the nested items engines read (FAQPage Question/acceptedAnswer.text, BreadcrumbList ListItem position/name/item, HowTo steps, Product offers/aggregateRating/review, addresses). Each issue has a property pat
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