"Answer Engine Optimization (AEO) Audit Guide" matching MCP servers:

Generates a comprehensive 5-section PDF audit for any website covering SEO, AEO, technical, authority, and AI visibility using Ahrefs, CrUX, and OpenAI.

An MCP server that gives AI agents tools to inspect a website's visibility to AI answer engines, including crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit.

Enables users to scan any website for AI search visibility, producing AEO, GEO, agent readiness, and mention-readiness scores along with AI identity and business profile insights. Paid tools extend this to competitive comparisons, detailed audits, and generated fixes.

Enables AI assistants to monitor and analyze a brand's visibility across ChatGPT, Claude, Perplexity, and Google AI Overviews, providing insights, recommendations, and competitive analysis without switching tabs.

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

Enables AI agents to safely operate on PostgreSQL data through typed MCP tools with per-identity RBAC, guardrails, and immutable audit logging.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Security scanner for MCP servers. Detects prompt injection, command injection, auth bypass, and excessive permissions across tools, resources, and prompts.

Evaluates any website's AI visibility with 15 checks across crawlability, structure, content, and connectivity, and provides actionable fixes.

Merges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.

Enables auditing any website for AI-answer readiness, returning a score and actionable fix list based on llms.txt, schema, sitemap, and related checks.

Enables scanning of code and URLs for security vulnerabilities (hardcoded secrets, missing headers, etc.) via Claude Code, integrating with the vibe-audit security scanner.

Hash-chained audit log for AI agents — MCP-native, Cloudflare Durable Objects + SQLite

MCP server for Tree-of-Thoughts search engine enabling deliberate problem solving with LLM agents via BFS, DFS, and beam search policies.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.

Provides a 3D full-body anatomy and biomechanics engine with 22 MCP tools for querying anatomical structures, connections, and clinical information, plus an interactive 3D viewer.

Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.