"SEO" matching MCP servers:

Enables AI coding agents such as Cursor, Claude, and Windsurf to run local SEO audits, inspect routes, apply safe code fixes, and access Google Search Console, Bing, and Core Web Vitals data through 13 standard tools.

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

A comprehensive MCP server for frontend analysis. It provides Google Lighthouse audits, code quality checks, SEO metadata verification, accessibility analysis, and bundle optimization for React and Next.js projects.

A server-side implementation that handles context processing between GitHub repositories and AI models, enabling seamless integration of AI capabilities with codebases through the Model Context Protocol.

Enables deterministic auditing of agent skills, system prompts, and downloaded file collections against eight malicious-skill supply-chain patterns, returning line-numbered findings and pass/flag verdicts without using an LLM or network calls.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

An MCP server that gives Claude AI the ability to read, analyze, modify, and debug ANTLR4 grammars, enabling grammar debugging and manipulation for Claude Desktop.

Enables AI assistants to search and inspect code repositories, manage issues and pull requests, and analyze user contributions.

Provides API documentation browsing, code generation, and code review for Minecraft 1.21.1 Forge and NeoForge modding.

Enables Windows-native malware analysis and reverse engineering inside Flare-VM by exposing 50 tools for static and dynamic analysis, memory injection scanning, debugging, network simulation, and automated triage playbooks without requiring a Kali Linux host, WinRM, or SMB shares.

Enables AI coding assistants to perform high-speed structural codebase analysis and dynamic context management by mapping repositories as byte-streams and detecting architectural chaos.

Enables AI agents and developers to independently verify trading-strategy backtests, detect look-ahead bias, hidden costs, and overfitting, and obtain verdicts with reproducible, optionally signed certificates.

Enables crawling and extracting clean content from documentation websites with optional LLM-powered analysis for intelligent summaries, code example extraction, and content classification.

Enables AI coding agents to search, route, and read code across multiple repositories through a central semantic index, without needing to clone repositories locally.

Enables analysis of native Android libraries (SO files) and Flutter applications, including decompilation, function identification, SSL certificate bypass patching, and binary modification through 30+ specialized tools.