At least 60 SEO-related MCP servers now exist as of March 2026, spanning the full spectrum from keyword research to local SEO to AI visibility tracking. The ecosystem has matured rapidly since mid-2025: seven major SEO platforms have shipped official MCP servers (Ahrefs, Semrush, SE Ranking, DataForSEO, Serpstat, SimilarWeb, and Google Analytics), while Google Search Console alone has attracted 20+ community implementations. The most important finding for practitioners: official MCP servers from Ahrefs and Semrush are now remote-hosted with OAuth, meaning zero local setup — a significant usability leap. However, several third-party servers scrape data without authorization and should be avoided. Below is every SEO MCP server found, organized by category, with honest assessments of each.

Full-stack SEO platforms with official MCP servers

These are the heavyweights — official servers maintained by the SEO platform companies themselves, covering multiple SEO functions in a single integration.

Ahrefs MCP Server

• Category: Full-stack SEO (keyword research, backlink analysis, rank tracking, site audits, competitor analysis, traffic estimation)
• Status: Official · Remote (recommended) + Local (archived)
• Link: docs.ahrefs.com/docs/mcp/reference/introduction · github.com/ahrefs/ahrefs-mcp-server (archived)
• Summary: The official Ahrefs MCP server is cloud-hosted with OAuth authentication, requiring no local installation. It provides access to Ahrefs’ full SEO dataset including keyword research with volume and difficulty scores, backlink analysis with domain rating, rank tracking, and competitor insights. The remote server works with Lite plans and above, while the old local server (archived February 2026) required Enterprise. This is the gold standard for SEO MCP servers in terms of data quality and reliability.
• Pros: Industry-leading backlink and keyword data; zero-setup remote server; works with Claude, ChatGPT, Copilot Studio, Cursor; official support and documentation
• Cons: Requires paid Ahrefs subscription (from ~$99/mo); API unit consumption can be high on complex prompts; plan-dependent row limits
• Flags: The archived local GitHub repo is outdated — use the remote server only. Multiple unofficial scrapers exist (see Flags section) that bypass Ahrefs’ paywall.

Semrush MCP Server

• Category: Full-stack SEO (keyword research, domain analytics, backlink analysis, traffic analytics, competitor intelligence)
• Status: Official · Remote
• Link: developer.semrush.com/api/basics/semrush-mcp · Endpoint: https://mcp.semrush.com/v1/mcp
• Summary: Semrush’s official MCP server connects AI tools to their Standard and Trends APIs via OAuth 2.1. It covers domain analytics, keyword research, organic/paid search data, backlink overviews, and traffic analytics across 50+ country databases. Compatible with Claude (browser and desktop), Cursor, VS Code, Gemini, and ChatGPT. Semrush also offers this as a ChatGPT app.
• Pros: Official, enterprise-grade; comprehensive API coverage; OAuth 2.1 security; 50+ databases; one-click setup for supported clients
• Cons: Requires Semrush subscription with API access (Business plan or higher for Standard API); unit-based billing can get expensive; Trends API requires separate subscription
• Flags: None — production-ready. Third-party wrappers also exist (see below).

SE Ranking MCP Server

• Category: Full-stack SEO (keyword research, rank tracking, backlink monitoring, site audits, competitor analysis, AI visibility tracking)
• Status: Official · Docker-based
• Link: github.com/seranking/seo-data-api-mcp-server · seranking.com/api/integrations/mcp
• Summary: SE Ranking’s official MCP server provides 100+ tools across two API tiers: a Data API for research (keyword volumes, domain overviews, backlinks, SERP data) and a Project API for ongoing monitoring (rank tracking, site audits, backlink monitoring). A standout feature is AI Overview (AIO) visibility tracking, which monitors how sites appear in AI-generated search results. Docker deployment is recommended.
• Pros: Extensive tool count (100+); AI search visibility tracking; ready-to-use prompt templates; well-documented with video tutorials; more affordable than Ahrefs/Semrush
• Cons: Docker setup required; requires SE Ranking subscription with API access; two separate API tokens needed for full functionality
• Flags: None — actively maintained by the SE Ranking team.

DataForSEO MCP Server

• Category: Full-stack SEO data API (SERP, keywords, backlinks, on-page, domain analytics, business data, content analysis, AI optimization)
• Status: Official · TypeScript
• Link: github.com/dataforseo/mcp-server-typescript · dataforseo.com/model-context-protocol
• Summary: DataForSEO’s official MCP server exposes 9 modular API categories covering SERP data across Google/Bing/Yahoo/Baidu, keyword research with clickstream data, on-page crawling, backlink analysis, and an AI Optimization module for tracking AI engine citations. The modular architecture lets users enable only the modules they need. Supports Cloudflare Worker deployment and field filtering to reduce response sizes. DataForSEO powers 750+ SEO tools, making this a meta-platform for SEO data.
• Pros: Broadest API coverage of any SEO MCP server; modular architecture; pay-as-you-go pricing with free trial; covers search engines beyond Google; Cloudflare Worker deployment
• Cons: Raw data API (no built-in project management like Ahrefs/Semrush); requires understanding of API structure; costs scale with usage
• Flags: None — high-quality official product.

Serpstat MCP Server

• Category: Full-stack SEO (domain analysis, keyword research, competitor analysis, backlinks, site audits)
• Status: Official · TypeScript
• Link: github.com/SerpstatGlobal/serpstat-mcp-server-js · npm: @serpstat/serpstat-mcp-server
• Summary: Serpstat’s official MCP server provides comprehensive SEO analysis with robust TypeScript implementation including Zod validation and Jest testing. It covers domain info retrieval, keyword research with related/similar keyword discovery, competitor analysis, backlink data, and a full site audit module with SDO scoring, issue detection, and error categorization. Category filtering via environment variables lets users scope the available tools.
• Pros: Official with solid engineering (Zod validation, test coverage); site audit with SDO scoring; category filtering for focused tool sets; npm-installable
• Cons: Requires Serpstat Team plan for API access; smaller dataset than Ahrefs/Semrush; less widely documented
• Flags: None.

SimilarWeb MCP Server

• Category: Traffic analysis, keyword data, competitor intelligence, audience insights
• Status: Official · Remote
• Link: mcp.similarweb.com · similarweb.com/corp/ai/mcp · developers.similarweb.com/docs/similarweb-mcp
• Summary: SimilarWeb launched its official MCP server in September 2025, providing access to web traffic analysis, keyword data, competitor intelligence, audience insights, app performance data, geographic breakdowns, and traffic source analysis. As a NYSE-listed company, SimilarWeb brings enterprise-grade reliability. Works with Claude, Cursor, n8n, Zapier, and Base44.
• Pros: Enterprise-grade traffic intelligence; unique audience insight data not available elsewhere; official from a publicly traded company; multi-platform compatibility
• Cons: Requires Business or Enterprise plan (expensive); primarily traffic-focused rather than full-stack SEO; ChatGPT support still pending
• Flags: None — enterprise production-ready.

Keyword research MCP servers

Keywords Everywhere MCP

• Category: Keyword research, search volume, CPC, competition data, related keywords
• Status: Official integration (listed on Anthropic’s official MCP servers repo)
• Link: Listed at github.com/modelcontextprotocol/servers · Third-party implementation: github.com/hithereiamaliff/mcp-keywords-everywhere
• Summary: Keywords Everywhere’s MCP server provides search volume, CPC, competition data, related keywords, “People Also Search For” suggestions, domain ranking analysis, traffic estimation, and backlink data across multiple countries and currencies. It is listed as an official integration on Anthropic’s MCP repository. The community implementation by hithereiamaliff wraps the Keywords Everywhere API.
• Pros: Affordable API (from ~$10/mo); listed on Anthropic’s official repo; multi-country support; broad keyword data
• Cons: Data quality below tier-1 tools like Ahrefs/Semrush; the GitHub implementation is community-built despite the official listing
• Flags: None.

kwrds.ai MCP

• Category: Keyword research, search volume, SERP insights
• Status: Third-party
• Link: github.com/mkotsollaris/kwrds-ai-mcp
• Summary: An MCP server connecting to kwrds.ai’s keyword research API for search volume analysis, competition data, and SERP insights. Promoted by kwrds.ai as production-ready. Useful for teams already using the kwrds.ai platform.
• Pros: Focused keyword research tool; production-ready per kwrds.ai
• Cons: Limited to kwrds.ai’s dataset; smaller user base; less feature-rich than full-stack alternatives
• Flags: None.

Haloscan MCP Server

• Category: Keyword research, SERP analysis, domain analytics, rank tracking
• Status: Semi-official (community-built but promoted by Haloscan)
• Link: github.com/occirank/Haloscan-mcp-server · npm: @occirank/haloscan-server · Alternative: github.com/Cryptoptimiste/HaloscanMCPServer
• Summary: MCP server for Haloscan, a French SEO platform with the largest French keyword database (275M+ keywords). Provides keyword overview with volume/competition/trends, KGR (Keyword Golden Ratio) and KVI (Keyword Visibility Index) metrics, SERP scraping and comparison, domain performance summaries, rank tracking with position history, and GMB backlinks data. Multiple implementations exist including a Streamable HTTP variant.
• Pros: Excellent for French-language SEO; unique metrics (KGR, KVI); up to 2 years of volume history; SERP comparison between keywords
• Cons: Primarily focused on French market; requires Haloscan Starter plan or higher; community-built (not directly by Haloscan engineering)
• Flags: None — legitimate tool for French SEO.

Search Intent MCP

• Category: Keyword intent classification
• Status: Third-party
• Link: Listed at mcp.so/server/search_intent/captainChaozi · API: aisearchintent.com
• Summary: Analyzes user search keyword intent, classifying queries into intent categories (informational, navigational, transactional, commercial) with reasoning and reference links. A specialized, narrow tool rather than a comprehensive SEO solution.
• Pros: Focused on intent analysis; provides reasoning for classifications
• Cons: Very narrow functionality; requires separate API key; limited documentation
• Flags: None, but limited utility as a standalone tool.

GeoRanker MCP

• Category: Keyword research, multi-region SERP comparison
• Status: Third-party
• Link: Listed at mcpservers.org/servers/lucas111112/georanker-mcp
• Summary: Connects to GeoRanker’s SEO tools for search volume analysis with 12 months of historical data, keyword difficulty scoring, CPC data, keyword suggestions, and multi-region SERP comparison. Supports 100+ countries with up to 64 concurrent requests.
• Pros: Strong multi-region coverage (100+ countries); historical data; high concurrency support
• Cons: Third-party implementation; limited community adoption
• Flags: None.

Google Search Console MCP servers

Google Search Console is the single most popular target for SEO MCP development, with 20+ implementations. Google has not released an official GSC MCP server. Here are the most notable community options:

mcp-server-gsc (ahonn)

• Status: Third-party · ~181 stars
• Link: github.com/ahonn/mcp-server-gsc · npm: mcp-server-gsc
• Summary: The most popular GSC MCP server by install count. Provides search analytics with up to 25,000 rows, regex filtering, Quick Wins detection, and multi-dimension analysis across query, page, country, and device. Available as an npm package with Smithery compatibility. Estimated ~18K visitors via PulseMCP.
• Pros: Most widely adopted; large row limits; Quick Wins feature; npm-installable
• Cons: Requires Google Cloud service account setup; community-maintained (no Google backing)

mcp-gsc (AminForou)

• Status: Third-party · ~305 stars (most starred)
• Link: github.com/AminForou/mcp-gsc · Also: github.com/AminForou/google-search-console-mcp-v2 (hosted version with OAuth)
• Summary: The most starred GSC MCP server on GitHub, featuring search analytics, sitemap submission, indexing status checks, and mobile performance analysis. Python-based with a YouTube tutorial available. The v2 version adds remote/hosted deployment with OAuth 2.0 for multi-user scenarios.
• Pros: Most GitHub stars; comprehensive feature set; v2 adds hosted deployment; good documentation with video guides
• Cons: Python-based (heavier setup than npm alternatives); service account credentials required

google-search-console-mcp-server (Shin-sibainu)

• Status: Third-party
• Link: github.com/Shin-sibainu/google-search-console-mcp-server · npm: google-search-console-mcp-server
• Summary: Feature-rich GSC MCP with a unique capability: URL submission for indexing directly through the MCP. Also includes period comparison tools, sitemap information retrieval, URL inspection, and automatic retry logic with input validation. One of the few GSC servers that lets you push URLs for indexing.
• Pros: URL indexing submission; period comparison; robust error handling; npm-installable
• Cons: Smaller community than ahonn/AminForou implementations

Search Console MCP (saurabhsharma2u) — Multi-platform

• Status: Third-party
• Link: github.com/saurabhsharma2u/search-console-mcp
• Summary: The most analytically sophisticated GSC server, combining Google Search Console + Bing Webmaster Tools + GA4 into a single MCP server. Includes keyword cannibalization detection, Z-score anomaly detection, striking distance analysis, brand vs. non-brand segmentation, opportunity matrix, and cross-engine comparison. Features AES-256-GCM encryption and hardware-bound security.
• Pros: Three platforms in one server; advanced analytics (cannibalization, anomaly detection); enterprise-grade security; multi-account support (20+)
• Cons: Complex setup; may be over-engineered for simple needs; single developer maintenance

Additional GSC servers worth noting:

• garethcull/search-console-mcp — Flask-based, Cloud Run deployable, uses Gemini for natural language queries
• metehan777/google-search-console-mcp — Supports Claude Desktop + OpenAI Agents SDK
• crunchtools/mcp-google-search-console — Available via PyPI and container images

Bing Webmaster Tools MCP servers

No official Microsoft MCP server exists for Bing Webmaster Tools. Two notable community options:

mcp-server-bwt (zizzfizzix)

• Status: Third-party
• Link: github.com/zizzfizzix/mcp-server-bwt
• Summary: Comprehensive Python-based Bing Webmaster Tools MCP with 40+ tools covering site management, URL submission, traffic analysis, crawl management, keyword analysis, link analysis, and country/region targeting. The most complete BWT MCP implementation available.
• Pros: 40+ tools; comprehensive BWT API coverage; Python-based
• Cons: Third-party; BWT has smaller dataset than GSC

mcp-server-bing-webmaster (isiahw1)

• Status: Third-party
• Link: github.com/isiahw1/mcp-server-bing-webmaster · npm: @isiahw1/mcp-server-bing-webmaster
• Summary: Node.js-based BWT MCP server with 40+ tools including search query analytics, URL submission and indexing, crawl error detection, keyword history and suggestions, traffic info, crawl rate configuration, and URL blocking capabilities.
• Pros: npm-installable; comprehensive tool set; Node.js (lighter than Python)
• Cons: Third-party; limited community adoption

Google Analytics (GA4) MCP servers

Google Analytics MCP (Official by Google)

• Status: Official
• Link: github.com/googleanalytics/google-analytics-mcp · developers.google.com/analytics/devguides/MCP
• Summary: The only official Google-built MCP server for GA4, providing access to both the Admin API and Data API. Supports account summaries, property details, Google Ads links, custom reports with dimensions/metrics, custom dimension/metric management, and realtime reports. Installable via pipx as analytics-mcp. Has a Discord community for support.
• Pros: Official Google product; comprehensive API access; pipx-installable; Discord support
• Cons: Requires Google Cloud service account; learning curve for GA4 API concepts
• Flags: None — this is the recommended GA4 MCP server.

Notable third-party GA4 servers:

• surendranb/google-analytics-mcp — 200+ dimensions and metrics with context window crash prevention
• ruchernchong/mcp-server-google-analytics — TypeScript, npm-published, lightweight
• HosakaKeigo/mcp-server-ga4 — Includes MCP resources for property metadata and dimension references
• gomarble-ai/google-analytics-mcp-server — One-click OAuth handling, smart token management

Technical SEO and site auditing

Screaming Frog MCP (bzsasson)

• Category: Technical SEO crawling and auditing
• Status: Third-party
• Link: github.com/bzsasson/screaming-frog-mcp
• Summary: MCP server that wraps Screaming Frog SEO Spider’s CLI, enabling AI-powered site crawling and technical audit data extraction. Supports all Screaming Frog export tabs, bulk exports, and reports including broken links, missing meta descriptions, redirect chains, and 404 errors. Runs headless CLI crawls and polls for crawl status.
• Pros: Leverages Screaming Frog’s industry-leading crawler; comprehensive export support; headless operation
• Cons: Requires local Screaming Frog installation with valid license (~£199/year); GUI must be closed for MCP to work; not official
• Flags: Screaming Frog has not endorsed this. Requires their commercial desktop software.

Lighthouse MCP Server (danielsogl)

• Category: Core Web Vitals, performance, SEO audits
• Status: Third-party
• Link: github.com/danielsogl/lighthouse-mcp-server · npm: @danielsogl/lighthouse-mcp
• Summary: A robust MCP server providing 13+ tools for Google Lighthouse audits including performance analysis, accessibility testing, SEO scoring, security assessment, Core Web Vitals monitoring (LCP, FID/INP, CLS), mobile vs. desktop comparison, resource optimization analysis, and performance budget monitoring. Supports CI/CD integration and before/after audit comparison.
• Pros: Free; comprehensive (13+ tools); CI/CD integration; performance budgets; multi-platform (VS Code, Cursor, Claude)
• Cons: Requires Chrome installed locally; Lighthouse audits can be slow; scores may vary between runs
• Flags: None — well-maintained, high-quality.

PageSpeed Insights MCP (ruslanlap)

• Category: Page speed, Core Web Vitals
• Status: Third-party
• Link: github.com/ruslanlap/pagespeed-insights-mcp · npm: pagespeed-insights-mcp
• Summary: A 16-tool MCP server for Google’s PageSpeed Insights API with full Lighthouse audit capabilities, Core Web Vitals monitoring, screenshot capture, network waterfall analysis, DOM element analysis, and smart recommendations with priority scoring and caching. Supports Docker and npx deployment.
• Pros: 16 tools; priority-scored recommendations; caching; Docker support; free (uses Google’s free API key)
• Cons: Dependent on Google’s API rate limits; results may differ from local Lighthouse runs
• Flags: None.

PageSpeed MCP Server (sofianbettayeb)

• Category: Technical SEO audit (comprehensive)
• Status: Third-party
• Link: Listed on LobeHub
• Summary: A zero-configuration MCP server combining PageSpeed analysis with comprehensive on-page SEO auditing. Unique in that it covers technical SEO elements (sitemap/robots.txt validation), on-page SEO (headings, content length, links, images, keywords), security headers, and performance — all with A-F letter grading. The most complete single-server technical SEO audit tool found.
• Pros: Zero configuration; A-F grading system; covers sitemap/robots.txt validation; comprehensive on-page analysis
• Cons: Less well-known; limited documentation; single-developer maintenance

Rampify MCP

• Category: Pre-deployment SEO checking
• Status: Official (by Rampify)
• Link: github.com/rampify-dev/rampify-mcp · npm: @rampify/mcp-server
• Summary: A unique MCP server designed for catching SEO issues before deployment — it runs inside your IDE and analyzes pages for SEO problems during development rather than after launch. Features local and global scope analysis, 1-hour response caching, and file path to URL mapping for development environments. Ideal for developers who want to prevent SEO regressions.
• Pros: Unique pre-deployment focus; IDE-integrated; developer-friendly; npm-installable
• Cons: Narrow use case (development only); requires URL mapping configuration
• Flags: None.

SEO Audit MCP (RichardDillman)

• Category: Technical SEO auditing
• Status: Third-party
• Link: github.com/RichardDillman/seo-audit-mcp
• Summary: Comprehensive technical SEO auditing server with page analysis (meta tags, headings, structured data), site crawling with page classification, Lighthouse integration, sitemap/robots.txt analysis, and JobPosting schema validation. Uses Playwright for JavaScript rendering.
• Pros: Playwright-based (handles JS-rendered pages); site crawling with classification; comprehensive audit scope
• Cons: Optimized specifically for job board websites; Playwright adds overhead
• Flags: Niche focus on job boards may limit general applicability.

SERP analysis servers

FetchSERP MCP Server

• Category: SERP analysis, keyword research, domain intelligence, web scraping
• Status: Official (by FetchSERP)
• Link: github.com/fetchSERP/fetchserp-mcp-server-node
• Summary: An all-in-one SEO and web intelligence toolkit covering multi-engine SERP analysis (Google, Bing, Yahoo, DuckDuckGo), keyword research with volume and suggestions, domain analysis (backlinks, WHOIS, DNS, SSL, tech stack detection), and web scraping with JavaScript execution. Offers 250 free credits for new users.
• Pros: Multi-engine SERP; domain intelligence included; free credits for trial; runs via npx from GitHub
• Cons: Credit-based pricing beyond free tier; less well-known than others
• Flags: None.

Local SEO

Local Falcon MCP Server (Official)

• Category: Local SEO rank tracking, GBP management, AI visibility
• Status: Official
• Link: localfalcon.com/features/mcp · github.com/local-falcon/mcp · npm: @local-falcon/mcp · Remote: https://mcp.localfalcon.com/mcp
• Summary: The only dedicated local SEO MCP server found. Official from Local Falcon, it provides geo-grid rank scanning, Google Business Profile performance metrics, competitor analysis, AI visibility tracking across ChatGPT/Gemini/Grok/Google AI Overviews (via their SAIV metric), campaign monitoring, and knowledge base search. Available as both a remote (OAuth 2.1) and local (Node.js) server. New users receive 100+ free promotional credits.
• Pros: Only dedicated local SEO MCP; unique SAIV (Search AI Visibility) metric; both remote and local options; free starter credits; well-documented
• Cons: Local SEO only (no general SEO); credit-based pricing; relatively new (low npm downloads)
• Flags: None — fills a unique niche.

Content optimization and schema markup

NEURONWriter MCP Server

• Category: Semantic SEO, content optimization, content scoring
• Status: Third-party
• Link: github.com/softreviewed/neuronwriter-mcp-server · Also via Pipedream, Zapier, Composio
• Summary: Connects to NEURONWriter’s content optimization platform for semantic SEO analysis, content briefs, content scoring against SEO recommendations, and content import/export. Provides tools to create keyword analysis queries, retrieve competitor analysis results, evaluate content against SEO suggestions, and save optimized content back to NEURONWriter.
• Pros: Semantic SEO focus; content scoring against competitors; MIT licensed
• Cons: Not official NEURONWriter product; marketed alongside affiliate links; requires NEURONWriter subscription
• Flags: ⚠️ The GitHub repo (softreviewed) is marketed alongside NEURONWriter lifetime deal affiliate links. Functional but commercially motivated.

Schema App MCP Server

• Category: Structured data, knowledge graph, AI-readiness
• Status: Official · Beta
• Link: schemaapp.com/solutions/integrations/model-context-protocol-server · Endpoint: https://mcpak.schemaapp.com/mcp
• Summary: Schema App’s MCP server exposes an organization’s Content Knowledge Graph (built from schema markup and structured data) to AI assistants. Designed for enterprise teams wanting to make their structured data queryable by AI agents with precision, traceability, and compliance. Currently in beta, available to enterprise customers.
• Pros: Unique structured data focus; enterprise-grade; ensures AI accuracy through governed data; official product
• Cons: Beta status; enterprise-only; not for traditional SEO ranking improvement; requires existing Schema App deployment
• Flags: ⚠️ Beta — may have stability issues. Not a traditional SEO tool.

SEO Inspector & Schema Validator MCP

• Category: On-page SEO, structured data validation
• Status: Third-party
• Link: Listed on glama.ai/mcp/servers/@mgsrevolver/seo-inspector-mcp · Also at playbooks.com/mcp/seo-inspector
• Summary: A Cursor-focused MCP server that analyzes web pages for SEO issues and validates JSON-LD structured data schemas directly from the codebase. No browser extension needed — it works entirely within the IDE.
• Pros: IDE-integrated; validates JSON-LD from codebase; no browser extension needed
• Cons: Cursor-specific; limited to on-page analysis; narrow feature set

AltText.ai MCP

• Category: Image SEO, accessibility
• Status: Platform-mediated (via Pipedream)
• Link: mcp.pipedream.com/app/alttext_ai
• Summary: Provides AI-generated alt text for images in 130+ languages via AltText.ai’s API. A thin MCP wrapper with a single tool. The underlying platform powers 85,000+ sites with WordPress, Shopify, and WooCommerce integrations.
• Pros: 130+ languages; proven platform (85K+ sites)
• Cons: Only 1 MCP tool; thin wrapper; native integrations (WordPress plugin) likely more practical
• Flags: Very limited MCP functionality — better to use AltText.ai’s native integrations directly.

Multi-tool and commercial SEO MCP platforms

SEOMCP.dev

• Category: Comprehensive SEO (site auditing, GSC, GA4, indexing, Core Web Vitals, schema)
• Status: Third-party commercial
• Link: seomcp.dev
• Summary: A commercial “all-in-one” SEO MCP server with 39 tools across 7 categories: site auditing (3 tools), Search Console (9 tools), GA4 analytics (11 tools), Google Indexing (4 tools), IndexNow (4 tools), Core Web Vitals (1 tool), schema/validation (2 tools), and sitemaps (1 tool). Unique in combining GSC + GA4 + indexing automation + site auditing in a single hosted server.
• Pros: One server covers many SEO functions; includes IndexNow for instant Bing/Yandex indexing; free tier (50 calls/mo); 30-second setup
• Cons: $29/mo for Pro (500 calls); independent product with no major backing; “most complete” marketing claim is debatable
• Flags: Verify independently — limited third-party reviews available.

SIGMAEO

• Category: Comprehensive SEO + AEO (Answer Engine Optimization)
• Status: Third-party commercial
• Link: sigmaeo.com · Glama: @gunpal5/SIGMAEO
• Summary: An AI-powered SEO/AEO intelligence platform offering 52 MCP tools across domain intelligence, keyword research, SERP tracking, page audits, competitor analysis, and AI citation tracking (monitoring brand mentions across ChatGPT, Perplexity, Claude, and Gemini). Also features autonomous desktop agents (SIGMAAUTO) that can automatically fix on-page SEO issues like meta titles, descriptions, and schema markup.
• Pros: Most tools of any SEO MCP server (52); unique AI citation tracking; autonomous fix capability; covers AEO
• Cons: Relatively new; limited independent reviews; pricing unclear; Glama listing returned 404
• Flags: ⚠️ Evaluate carefully — new product with limited independent validation. Testimonials are self-hosted.

Coupler.io MCP Server

• Category: SEO data integration (GSC, GA4, and 70+ sources)
• Status: Official (by Coupler.io)
• Link: blog.coupler.io/seo-mcp · github.com/railsware/coupler-io-mcp-server
• Summary: A no-code data integration platform connecting 70+ business applications and exposing data flows as queryable SQLite databases. For SEO, it connects GSC, GA4, and other data sources, enabling natural language SQL queries over SEO data. Different from traditional SEO MCP servers — this is a data pipeline tool.
• Pros: Connects 70+ data sources; SQL-queryable; no-code setup; free tier available
• Cons: Not SEO-specific; requires data flow setup; indirect approach to SEO analysis

SEO LinkMap MCP

• Category: SERP correlation, PageRank, competitor backlinks
• Status: Official (by SEO LinkMap)
• Link: Listed on FastMCP
• Summary: Transforms SEO analytics into conversational queries with statistical rigor, featuring SERP correlation analysis, PageRank calculations, competitor backlink profiling, and technical performance metrics. Remote, 1-click ready.
• Pros: Statistical rigor; PageRank calculations; remote deployment
• Cons: Limited documentation; niche tool

Third-party wrappers for major SEO platforms

Semrush third-party MCP servers

All three are third-party and require Semrush API credentials. The adsimbe implementation stands out for its rate limiting, caching, and grouped tool design that minimizes context window consumption.

Moz MCP (metehan777)

• Status: Third-party
• Link: github.com/metehan777/moz-mcp · Blog: metehan.ai/blog/moz-mcp
• Summary: The only Moz MCP server found. Provides 13+ features via Moz API v3 including keyword difficulty, keyword suggestions, site metrics, Brand Authority scoring, link analysis, and global top domains/pages. Author explicitly states it is unofficial.
• Pros: Only Moz MCP available; 13+ features; documented on author’s blog
• Cons: Unofficial (author explicitly states this); 8 GitHub stars; single developer; Moz has not endorsed it
• Flags: Use with awareness that Moz could change their API without coordinating with this server.

DataForSEO community implementations

The Skobyn implementation is notable for its Local Falcon integration, while thomaspedot adds unique graph-based PageRank and internal linking analysis.

SEO Review Tools MCP

• Category: Backlinks, keywords, traffic, SERP data, authority scoring
• Status: Official
• Link: github.com/SEO-Review-Tools/SEO-API-MCP · seoreviewtools.com/seo-review-tools-mcp-server
• Summary: Official MCP server from SEO Review Tools, claiming access to 3.1 trillion+ backlinks, 7 billion+ keywords, and 560 million+ crawled SERPs. Provides backlinks API, keywords API, website traffic API, SERP API, content optimization API, domain authority API, and plagiarism API. Works with Claude Desktop, Cursor, and Postman.
• Pros: Official; large claimed dataset; broad API coverage; plagiarism detection included
• Cons: Requires paid subscription; less well-known than tier-1 SEO tools
• Flags: None — legitimate official product.

Servers flagged to avoid or use with extreme caution

Several MCP servers in the SEO ecosystem raise significant concerns. These should be avoided for professional use:

⚠️ Ahrefs scrapers (cnych/seo-mcp and forks)

• Servers: github.com/cnych/seo-mcp · github.com/egebese/seo-research-mcp · github.com/mrgoonie/seo-insights-mcp-server · github.com/halilertekin/advanced-seo-mcp
• Issue: These servers scrape Ahrefs data by bypassing CAPTCHAs using the paid CapSolver service. They do not use Ahrefs’ official API. The repos state “for educational purposes only” — an implicit acknowledgment that this likely violates Ahrefs’ Terms of Service. Using these carries legal risk and ethical concerns. Now that Ahrefs has an official MCP server, there is no legitimate reason to use scrapers.
• Verdict: 🚫 Avoid. Use the official Ahrefs MCP server instead.

⚠️ Ubersuggest MCP (madebyaris)

• Server: github.com/madebyaris/mcp-ubersuggest
• Issue: Explicitly uses reverse-engineered Ubersuggest endpoints and stores credentials (username/password) in plaintext environment variables. Zero GitHub stars. Disclaimer states it may violate Ubersuggest’s ToS and could break at any time.
• Verdict: 🚫 Avoid. Unreliable, insecure, and potentially ToS-violating.

⚠️ Delulu9 SEO MCP

• Server: delulu9.com
• Issue: Heavily self-promotional blog content that positions itself against Ahrefs/Semrush. Limited independent quality verification. $12/mo for a product with no transparent team, limited reviews, and bold claims. Their own blog post inaccurately stated Ahrefs had no official MCP server (it does).
• Verdict: ⚠️ Use with caution. May be legitimate but warrants independent verification before committing.

⚠️ Ahrefs Local MCP (archived)

• Server: github.com/ahrefs/ahrefs-mcp-server
• Issue: Archived on February 24, 2026. No longer maintained. Requires Enterprise plan with API v3 key.
• Verdict: ⚠️ Do not use. The remote MCP server has replaced this entirely.

Notable SEO-adjacent MCP servers

A few servers don’t fit neatly into traditional SEO categories but offer SEO-relevant capabilities:

• Koala AI MCP (via Pipedream) — AI content generation with SERP analysis; thin wrapper, not a full MCP server
• Apify Structured Data Extractor — Extracts JSON-LD, Microdata, RDFa, Open Graph from pages with Schema.org validation
• Apify Website Speed Checker — Bulk Lighthouse and Core Web Vitals testing at scale
• Apify GSC MCP — Cloud-based GSC access with keyword cannibalization detection
• WordPress MCP (kungtekno/wp-mcp) — WordPress content management with Yoast SEO plugin integration
• Nightwatch SEO — Described MCP-powered SEO AI agent capabilities on their wiki, but no downloadable MCP server was confirmed to exist
• claude-seo (AgriciDaniel) — Not a standalone MCP server but an orchestration framework (13 sub-skills, 6 subagents) that connects to multiple SEO MCP servers
• Composio wrappers — Third-party proxy layer for Ahrefs (40+ tools) and Semrush (37+ tools) via Composio’s platform at mcp.composio.dev

Status

The SEO MCP ecosystem has reached a functional maturity point where practitioners can build genuine AI-powered SEO workflows. The most significant development is the shift to remote, OAuth-authenticated MCP servers by Ahrefs and Semrush, eliminating the friction of local installation. For teams evaluating which servers to adopt, three tiers emerge clearly. Note that all rank-tracking services are paid services and likely violate Google’s ToS.

Tier 1 (production-ready, official) includes Ahrefs, Semrush, SE Ranking, DataForSEO, Google Analytics, and SimilarWeb — these are battle-tested, officially supported, and safe for professional use. Tier 2 (solid community/niche) includes the top GSC implementations (ahonn, AminForou), Serpstat, Local Falcon, Lighthouse MCP, and SEO Review Tools — reliable but with less institutional backing. Tier 3 (experimental/caution) covers SIGMAEO, SEOMCP.dev, Delulu9, and various single-developer projects — potentially useful but requiring careful evaluation.

The biggest gap in the ecosystem remains Google Search Console, which lacks an official Google MCP server despite being the most community-developed target. The notable absences among major platforms — Majestic, SpyFu, Mangools, Clearscope, MarketMuse, BrightLocal, Surfer SEO — suggest significant whitespace for future official MCP releases. The emerging frontier is AEO (Answer Engine Optimization) and AI visibility tracking, where SIGMAEO, Local Falcon, and SE Ranking are pioneering the ability to monitor how brands appear in AI-generated search results.