"An overview or guide to Search Engine Optimization (SEO)" matching MCP servers:

MCP server for SEO content factory and blog growth cycle, enabling content publishing with validation, interlinking, search query mining, and content audits.

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.

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

This MCP server automates WordPress SEO blog creation from content generation to publishing using GPT-4o, DALL-E 3, and WordPress REST API, with email approval workflow.

MCP server for governed AI content publishing to platforms like WeChat, Juejin, CSDN, and Zhihu, exposing tools for platform auth checks, content preflight, publish job lifecycle, verification, and liveness monitoring.

Full-stack AI marketing toolkit with 41 MCP tools: SEO article generation in 55 languages, trend scouting (X/Reddit), competitor analysis, content gap detection, social media adaptations for 9 platforms, AI avatar video shorts, content ingestion (YouTube/PDF/web), lead magnets, and automated content autopilot.

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.

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.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

MCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.

Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.

Enables interaction with table data in a Federated Wiki, supporting CSV, TSV, JSON, and markdown pipe tables, with CRUD operations via REST and MCP tools.

Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.

Enables publishing content to multiple social media platforms (YouTube, Twitter, Facebook, Instagram, TikTok, Reddit, Blog) through automation agents, with task management and system validation.

SearchAtlas MCP Server connects AI assistants to the SearchAtlas platform, providing 16 specialised tools for SEO automation, content generation, PPC management, keyword research, site auditing, authority building, Google Business Profile management, and LLM brand visibility monitoring. It works with Claude Code, Cursor, Claude Desktop, VS Code, Windsurf, and Zed via stdio transport.

GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.

An MCP server that converts Markdown content to Notion API-compatible formats, suitable for content management and development integration.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.