"A guide to performing an SEO audit" matching MCP servers:

Merges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.

Enables AI agents to perform instant SEO audits, check robots.txt, sitemaps, and AI crawler access for any URL without API keys.

Generates a comprehensive 5-section PDF audit for any website covering SEO, AEO, technical, authority, and AI visibility using Ahrefs, CrUX, and OpenAI.

Provides comprehensive technical SEO auditing tools including page analysis, site crawling, Lighthouse performance testing, and sitemap analysis, with specialized features for job board websites like JobPosting schema validation.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

An advanced, AI-powered Model Context Protocol (MCP) server that acts as a comprehensive Growth Auditor, SEO Optimizer, and Code Fixer.

An MCP server that audits websites for technical and on-page SEO, enabling users to ask why a page isn't ranking and receive specific, actionable answers.

Enables MCP-capable agents to fetch public pages, extract business signals and FAQ content, score a local business's web presence from 0-10, and generate a sales-ready audit with ranked gaps and a recommended offer.

MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.

Enables MCP clients to deterministically audit claimed data-deletion requests, reconstruct what personal data remains reachable at a chosen cut-off, and retrieve evidence, case details, queues, what-if results, and verification outputs. It is read-only and lets agents build risk dashboards, review queues, case cards, and DPO briefs from the same capabilities as the CLI.

Enables AI agents to perform comprehensive SEO audits on web pages, including meta tags, headings, links, images, performance, and more, via a CLI or MCP server.

Enables auditing of .xlsx workbooks locally and read-only, flagging formula errors, broken references, inconsistent formulas, typed-over values and other risks through both static checks and an independent Python recalculation engine, with tools to run a full audit or inspect a single cell.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

A comprehensive website crawler and SEO analyzer that stores site data in a local SQLite database for AI-driven auditing. It enables users to detect technical SEO issues, broken links, and security vulnerabilities through natural language queries or terminal commands.

Enables users to cluster keyword lists, classify search intent, detect Google Search Console keyword cannibalization, score title tags and meta descriptions for CTR, and generate content briefs, all deterministically and locally from their own pasted data with no API key required. It also flags fixes such as canonical targets and merge actions for competing pages.

Provides AI agents with hands-on control of Google SEO and analytics tools including Search Console, GA4, Tag Manager, Indexing API, and PageSpeed Insights, with self-configuring OAuth2.

Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.

Professional Google Search Console MCP server providing 40+ SEO tools for performance analysis, content decay, CTR opportunities, and more, enabling real search data in clients like Cursor and Claude.

Enables read-only SEO and generative-search visibility audits by combining official Google Search Console and Bing Webmaster Tools data with a bounded crawl of a site's public pages. Returns confirmed issues, per-query and per-page opportunities, GEO readiness signals, and prioritized actions with verification steps, while also supporting import of Google generative-search impressions from CSV exports.

An SEO analysis MCP server integrating Google Search Console, Bing Webmaster Tools, and GA4 with custom grain analysis tools for content decay, traffic drops, CTR benchmarking, and actionable recommendations.

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

Plan SEO pages in an SEO Content Machine Workspace, then have its page agents research, write and review each page as a draft. A stdio bridge to the SCM desktop app, which must be running on the same machine.

Connects AI assistants to WordPress sites, enabling automated SEO analysis and fixes for meta tags, schema, content, images, and technical SEO via MCP tools.

Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.