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

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

Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables accurate Quranic verse search through natural language queries, returning exact text with no hallucinations.

Exposes self-owned AI agent plugins as tools to Claude Code via a stdio MCP server, allowing Claude to call system info, calculator, or scribe transcriber directly.

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.

attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i

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 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.

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.

Provides eight SEO and AI-search workflows that run inside Claude and ChatGPT, covering Search Console auditing, traffic-drop diagnosis, keyword clustering, AI citation guidance, competitor gap analysis, content refresh, JSON-LD schema generation, and article drafting. Each workflow works from measured data rather than invented numbers and will push back on tactics Google's guidance says do not work.

MCP server (stdio, official Python SDK) exposing a single tool: quantity_execute. Performs dimensional calculation and unit conversion with evidence. Solves silent unit errors in LLM agent chains: 20 m/s × 3 h returns 216 km.

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.

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.

MCP server giving AI agents 86 tools for browser automation via Chrome DevTools Protocol, including navigation, click/fill ladders, network inspection, per-site cracks, and optional marketplace for site-specific knowledge packs.

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

A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.