"A guide to SEO content and optimization strategies" matching MCP servers:

SERP-based content scoring and optimization with 7 SEO categories.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

Lets a content team edit a GitHub-hosted website's Markdown pages and blog posts through Claude, with each change validated and committed to a staging branch. Editors can preview, publish live, or discard changes, while code checks block edits that would break the site.

Provides SEO audits, crawling, performance analysis, and deployment management for web projects via a stdio MCP server.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Enables AI assistants to search Google SERPs, track rankings across locations, run Lighthouse SEO audits, find broken internal links, analyze backlinks, and get keyword volume data through a hosted service.

AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/

SEO toolkit MCP server for analyzing meta tags, robots.txt, sitemaps, keyword density, readability, and heading structure from any AI assistant that supports MCP.

Five general-purpose stdio MCP servers for SEO: access to SERP, Wordstat, Google Search Console, Yandex.Webmaster and Yandex.Metrica straight from Claude Code (or any MCP client). All tools are read-only, output is strict JSON. Not tied to a specific site: defaults (GSC property, Webmaster host, Metrica counter) are configured on the fly.

Provides AI agents with typed SEO tools for domain authority, keyword opportunities, competitor gap analysis, content briefs, site audits, and internal links, backed by Common Crawl graph data and optional x402 payment settlement.

Enables comprehensive website SEO analysis including crawling, on-page audits, site structure visualization, and content topic classification with taxonomy mapping.

AutomateLab SEO Performance combines search and analytics data into clear actions for each URL. Find content to refresh and track results from your MCP client. Product and documentation: https://automatelab.tech/products/mcp/seo-performance-mcp/

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.

An SEO MCP server providing free SEO tools including on-page audits, broken link checks, sitemap analysis, and keyword ideas via Google Suggest, all without requiring an API key.

An MCP server that provides a suite of SEO analysis tools for auditing meta tags, headings, links, keyword density, page speed, and sitemaps without requiring external API keys.

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

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Enables AI assistants to diagnose and fix technical SEO, content and generative-engine-optimization issues in one conversation by bundling 102 tools spanning Google Search Console, Analytics 4, PageSpeed/CrUX, structured data, llms.txt, AI-crawler access, WordPress and GitHub.

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.

Official MCP Server for Human Search Intent Keywords, Google Lighthouse Core Web Vitals (CLS/LCP/INP), Technical SEO Audits, and On-Page Diagnostic Intelligence.

Enables AI agents to diagnose and fix technical SEO, content, and generative engine optimization issues by providing 72 tools that integrate Google Search Console, Google Analytics 4, PageSpeed Insights, structured data, llms.txt, WordPress, and GitHub.

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.

Fetches and tracks content from YouTube channels, RSS feeds, and GitHub releases with persistence to identify new items across sessions.

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.

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.

Connects Google Search Console and Google Analytics to AI assistants for SEO analysis, though the current public preview only exposes a service_info tool and does not yet enable Google account access.

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 AI assistants to interact directly with Strapi v5 CMS content through full CRUD operations, media uploads, and content type exploration using Strapi's Document Service API.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.