93 tools live now

93 SEO tools, one connection

Every tool below is callable from any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, Windsurf, VS Code, custom agents. You don't call them by name; you describe what you want and the AI picks the right one.

This list isn't 93 separate products

Every other SEO tool company on the market sells 93 features as 93 different SaaS products — each with its own dashboard, its own seat licence, its own credit system. The SEO MCP collapses them into one toolkit your AI can reach for whenever a question demands it.

The unit of value isn't a single tool; it's the workflow the AI composes by chaining several of them. The category breakdown below is how the tools are organized, but most useful work crosses categories. A "find content gaps vs. my competitor" workflow uses Labs + SERP + On-Page tools in sequence. A "weekly backlink digest" workflow uses Backlinks + Domain. The AI does that chaining automatically.

93

Tools

12

Categories

5

Pre-built workflow prompts

Credit costs shown are for the Growth Engine plan. Local Dominator uses fewer credits per call and Full Stack more, because a Full Stack credit costs less than half as much — in dollars, calls are cheapest on Full Stack. "Per 100" tools charge their price once for each started block of 100 keywords, domains or results, and "+3 per 10 more results" is the extra charge for each page of results beyond the default. Once connected, ask your AI assistant to read the server's pricing resource for every tool's price on your plan. Plans are on the Pricing page.

🔍 SERP(9 tools)

Live search results from Google, Bing, YouTube, and Yahoo. These are the tools that answer 'what does the SERP for X look like, right now, in this location?' — the foundation of every ranking, competitor, and SERP-feature workflow.

serp_google_organic8 cr +3 per 10 more results

Google organic SERP live results

serp_google_maps12 cr

Google Maps SERP live results

serp_google_news8 cr +3 per 10 more results

Google News SERP live results

serp_google_images8 cr

Google Images SERP live results

serp_google_autocomplete3 cr

Google Autocomplete suggestions

serp_google_local_finder12 cr +3 per 20 more results

Google Local Finder results

serp_bing_organic8 cr +3 per 10 more results

Bing organic SERP live results

serp_youtube_organic8 cr

YouTube organic SERP live results

serp_yahoo_organic8 cr +3 per 10 more results

Yahoo organic SERP live results

🔑 Keywords(10 tools)

Search volume, trend, suggestion, and ad-traffic data. Use these to validate keyword ideas before targeting, build content briefs, or measure demand shifts across geographies and time. For example prompts, see MCP server for keyword research.

keywords_search_volume130 cr

Google Ads search volume for keywords

keywords_for_site130 cr

Google Ads keywords for a website

keywords_for_keywords130 cr

Google Ads related keywords

keywords_ad_traffic130 cr

Google Ads estimated ad traffic

keywords_google_trends16 cr

Google Trends explore data

keywords_bing_search_volume130 cr

Bing search volume for keywords

keywords_bing_suggestions130 cr

Bing keyword suggestions for URL

keywords_search_trends9 cr

Search trend explore data

keywords_search_trends_subregion9 cr

Search trend subregion interest

keywords_search_trends_demography9 cr

Search trend demographic data

🧪 Labs(18 tools)

Competitor research, keyword ideas, rank tracking, and intersection analysis. The most-used category by far — Labs answers questions like 'what keywords does my competitor rank for that I don't?' and 'who else is competing in this SERP?'.

labs_ranked_keywords35 cr per 100 results

Keywords a domain ranks for

labs_competitors_domain35 cr per 100 results

Competing domains by keyword overlap

labs_keyword_ideas35 cr per 100 results

Keyword ideas from seed terms

labs_domain_rank_overview18 cr

Domain rank overview metrics

labs_related_keywords35 cr per 100 results

Semantically related keywords

labs_domain_intersection35 cr per 100 results

Keyword overlap between domains

labs_page_intersection35 cr per 100 results

Keyword overlap between pages

labs_serp_competitors35 cr per 100 results

SERP competitors for keywords

labs_bulk_keyword_difficulty35 cr per 100 keywords

Bulk keyword difficulty scores

labs_historical_serps18 cr

Historical SERP data

labs_categories_for_domain35 cr

Content categories for a domain

labs_keyword_overview18 cr

Keyword overview with metrics

labs_keyword_suggestions35 cr per 100 results

Keyword suggestions from seed

labs_search_intent35 cr per 100 keywords

Classify keyword search intent

labs_subdomains35 cr per 100 results

Subdomains of a domain

labs_relevant_pages35 cr per 100 results

Most relevant pages for keywords

labs_historical_rank_overview194 cr

Historical rank overview

labs_bulk_traffic_estimation35 cr per 100 domains

Bulk traffic estimation for domains

📄 On-Page(4 tools)

Instant on-page audits, Lighthouse runs, and content parsing. The fastest way to ask 'what's wrong with this page, and what should I fix first?' without leaving your AI chat.

on_page_instant44 cr

Instant on-page SEO audit

on_page_lighthouse68 cr

Google Lighthouse audit

on_page_content_parsing44 cr

Parse page content structure

on_page_page_screenshot35 cr

Capture page screenshot

🌐 Domain(5 tools)

WHOIS, technology detection, and competitive technology intelligence. Use these for prospecting, due diligence, or understanding what stack a competitor is built on.

domain_technologies18 cr

Technologies used by domain

domain_whois175 cr

WHOIS domain registration data

domain_domains_by_technology190 cr per 100 results

Domains using a technology

domain_domains_by_html_terms190 cr per 100 results

Domains containing HTML terms

domain_technology_stats121 cr

Technology usage statistics

✍️ Content(6 tools)

Sentiment analysis, phrase trends, and category trends across the web. Useful for content strategy — what's being said about your brand, what topics are heating up, what sentiment patterns are forming.

content_analysis_search40 cr

Search content across the web

content_analysis_summary35 cr

Content analysis summary

content_analysis_sentiment35 cr

Content sentiment analysis

content_analysis_phrase_trends41 cr

Phrase trend analysis

content_analysis_rating_distribution35 cr

Rating distribution analysis

content_analysis_category_trends41 cr

Category trend analysis

🏢 Business Data(4 tools)

Google Business Profile, Google reviews, Google Hotels and Q&A data. Foundational for local SEO, reputation management, and review-monitoring workflows.

business_data_google_info14 cr

Google Business profile info

business_data_google_reviews14 cr +3 per 10 more reviews

Google Business reviews

business_data_google_hotel_searches13 cr

Google Hotel search results

business_data_google_qa14 cr

Google Q&A for a business

📱 App Data(6 tools)

Apple App Store and Google Play search, info, and review data. Niche but powerful for ASO (App Store Optimization) and competitive analysis of mobile apps.

app_data_apple_info8 cr

Apple App Store app info

app_data_apple_search8 cr

Apple App Store search

app_data_apple_reviews8 cr

Apple App Store reviews

app_data_google_info8 cr

Google Play app info

app_data_google_search8 cr

Google Play search

app_data_google_reviews8 cr

Google Play reviews

📍 Geo-Grid(1 tool)

Local rank tracking from multiple GPS coordinates — see exactly how your Google Maps rankings vary across a city. The category Local Falcon and BrightLocal built their businesses around, here on the same credit balance as every other tool.

local_rank_grid300 cr

Geo-grid local rank scan — check Google Maps rankings from NxN GPS coordinates (5x5 default, 300 credits on Growth Engine)

🛒 Merchant(6 tools)

Google Shopping and Amazon product/seller data. For e-commerce SEO, marketplace research, and competitive pricing intelligence.

merchant_google_sellers12 cr

Google Shopping sellers

merchant_google_products12 cr

Google Shopping products

merchant_google_product_info12 cr

Google Shopping product details

merchant_amazon_asin18 cr

Amazon ASIN product info

merchant_amazon_sellers18 cr

Amazon marketplace sellers

merchant_amazon_products18 cr

Amazon product search

🤖 AI Visibility(8 tools)

See what AI assistants say about a brand or topic: how often people ask AI tools about a keyword, which sources ChatGPT cites, and how ChatGPT, Claude, Gemini and Perplexity answer a prompt. The data you need for AI search (GEO) work.

ai_keyword_data_search_volume29 cr per 100 keywords

AI search volume for keywords (ChatGPT, Gemini, Perplexity), with 12-month trend

llm_scraper_chatgpt6 cr

ChatGPT search results for a keyword — cited sources and brand mentions

llm_responses_chatgpt18 cr

ChatGPT's answer to a prompt — does it recommend your brand?

llm_responses_claude18 cr

Claude's answer to a prompt

llm_responses_gemini17 cr

Gemini's answer to a prompt (Gemini powers Google AI Overviews)

llm_responses_perplexity12 cr

Perplexity's answer to a prompt, with cited sources

llm_mentions_search288 cr per 100 results

Keyword or domain mentions across LLM answers (access on request)

llm_mentions_aggregated158 cr

Aggregated LLM mention metrics by location, language and platform (access on request)

Six workflow recipes (copy these prompts)

These are the patterns that demonstrate why a tool list isn't the point — the chained workflow is. Each recipe is one or two prompts; the AI handles the rest.

Competitor research in 3 prompts

"What are the top 5 organic competitors for example.com?"

"For each of those 5, show me the keywords they rank top-3 for that example.com doesn't rank for at all."

"Take the top 20 keyword gaps by search volume and group them into content topics I should target."

Tools called: labs_competitors_domain → labs_domain_intersection (×5) → labs_keyword_overview

Content gap audit in 1 prompt

"For the keyword 'best CRM for small business', show me the top 10 organic results, the People Also Ask questions, and the content topics each top-ranking page covers — then tell me what's missing across the SERP that we could win."

Tools called: serp_google_organic → on_page_content_parsing (×10) → labs_search_intent

Backlink monitoring weekly digest

"Pull new and lost backlinks for example.com over the last 7 days. Flag anything with a spam score > 30 and anything from a referring domain with DR > 50."

Tools called: backlinks_timeseries_new_lost → backlinks_bulk_spam_score → backlinks_bulk_ranks

Local rank scan + reputation check

"Run a 5×5 geo-grid scan for 'plumber Phoenix' centered on 33.4484,-112.0740 and check Bob's Plumbing's Google reviews and rating."

Tools called: local_rank_grid → business_data_google_info → business_data_google_reviews

Technical SEO audit in 2 prompts

"Run a full on-page audit + Lighthouse for example.com/landing-page. Prioritize the findings by traffic impact."

"Now compare the on-page structure to the current #1 ranking page for 'project management software' and tell me what they're doing that we aren't."

Tools called: on_page_instant → on_page_lighthouse → serp_google_organic → on_page_content_parsing

Keyword opportunity sweep

"Show me keywords with monthly volume > 500 and keyword difficulty < 30 that semantically relate to 'invoicing software for contractors'. Include search intent classification."

Tools called: labs_related_keywords → labs_bulk_keyword_difficulty → labs_search_intent

How this compares to traditional SEO platforms

Ahrefs, Semrush, Moz, and SE Ranking are excellent dashboards, and several of them now offer MCP access as well. This table compares two ways of working, not brands: a dashboard built for visual analysis and manual exploration, versus a chat with MCP tools attached. Here's where each model wins:

WorkflowTraditional PlatformMCP-Based
Deep manual analysis with filters✓ Dashboard winsPossible but slower
"What changed last week?" digestsManual export + spreadsheets✓ One prompt
Cross-tool synthesis (e.g., SERP × backlinks × content)Slow — siloed dashboards✓ Native — AI joins the data
Visual reporting for clients✓ Built-in dashboardsAI generates summaries; pair with a reporting tool
Use inside an AI agentMany now ship their own MCP server (Ahrefs and Semrush both do)✓ Native MCP, every tool on one connection

Most serious SEOs end up using both — a traditional platform for deep dashboard work and The SEO MCP for daily questions, agent workflows, and anything that needs to happen inside a conversation.

Frequently asked questions

What does 'credit' mean? How does pricing work?

Each tool call deducts credits from your account balance. On the Growth Engine plan, SERP calls are 3–12 credits and most Labs, content and backlink tools are 35–104. The Google Ads and Bing keyword tools are 130 a call (for up to 1,000 keywords), and a few specialist lookups (WHOIS, sites using a technology, historical rank) are 175–194. Bulk tools are priced per 100 items, and deeper search results add a small charge per page. Geo-grid is 300 credits for a 5x5 scan (each scan covers an N×N grid of GPS points). Exact cost depends on your plan tier — higher tiers use more credits per call, but each credit costs less, so every call costs less in dollars. Every plan includes a monthly credit bucket, and you can move up a plan at any time. See the pricing page for the full breakdown.

Do I have to call tools by name?

No. You describe what you want in plain language and the AI picks the right tool. You only see tool names if you ask the AI to explain what it called (useful for debugging or learning the toolset).

Can the AI use multiple tools in one answer?

Yes — and it does this constantly. A single user prompt frequently triggers 3–10 tool calls that the AI parallelizes and joins. Most useful SEO workflows are inherently multi-tool.

How fresh is the data? Is anything cached?

Every tool call hits the live data provider. Nothing is cached on our side. You're paying credits to get fresh data — so 'fresh' is the only mode we offer.

Do the same tools work in Claude, ChatGPT, and Cursor?

Yes. Because MCP is an open standard, the exact same 93 tools are exposed identically in every MCP-compatible client. You'd connect The SEO MCP once per client, and after that they all see the same toolset. ChatGPT setup has its own walkthrough: ChatGPT SEO MCP.

Can I use these tools in n8n, Make, or my own custom agent?

Yes. Any MCP client works. If you're building a custom agent with the Anthropic SDK, OpenAI Responses API, or LangChain, all of them ship MCP client adapters. Point the adapter at our endpoint and the tools light up. Sign-in is OAuth through a browser, access tokens last 24 hours and there are no refresh tokens, so someone signs in again about once a day. It suits work done alongside a person, not jobs left running unattended.

Are these tools different from what Ahrefs or Semrush show me?

The underlying SERP, backlink, and keyword data comes from professional third-party providers — broadly the same class of data Ahrefs/Semrush use. Both of them now offer MCP access too, so the bigger difference is the price model: one plan, one credit balance, 93 tools. For workflows that want a visual report, their dashboards win; for workflows that want an answer, a chat with MCP tools wins.

Can I see what tools were called for a given answer?

Yes. Most MCP clients show tool calls inline ('Used serp_google_organic, on_page_lighthouse...') and let you click in for the raw input/output. Claude Desktop, Cursor, and Windsurf all surface this clearly.

Ready to connect?

All 93 tools, one config line, available in every MCP client. Free tier to start.