"Search Engine Optimization (SEO) Resources" matching MCP servers:

Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.

Enables AI to perform fast, multi-source web searches and research through tools for web, social, news, GitHub, and document analysis.

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.

A fully offline MCP server for token estimation, prompt compression, model routing, and semantic caching to optimize LLM usage costs and efficiency.

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

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

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.

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

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.

Enables AI agents to check backlinks, domain rating, and expired domains using the seo-backlinks.net API.

MCP server for on-page SEO auditing and JSON-LD schema validation, providing tools for full SEO audit, schema validation, heading hierarchy, and image audit without requiring API keys.

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/

Enables auditing of a live website's technical SEO, including sitemap coverage, per-page issues, and redirect chains.

Connects Google Search Console to your page content and ranks SEO opportunities by estimated revenue, helping content creators prioritize fixes that pay most.

Provides AI agents with professional-grade SEO capabilities including on-page analysis, technical audits, PageSpeed insights, and Ahrefs data integration.

Get access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.

SEO audit and Google Search Console MCP server with 23 tools. Search analytics, URL inspection, Indexing API, Core Web Vitals (CrUX), striking distance keywords, keyword cannibalization detection, branded query analysis, and automated site audits.