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

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.

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 users to ask any question and receive expert-verified answers backed by Gemini. The tool is accessible via Claude Desktop, MCP SDK clients, and a web browser.

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

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.

Enables MCP clients to access the eGordian JOC Service, including the AEO nine-stage deterministic estimating pipeline and the licensed Gordian CTC catalogue, with scoped authentication and deliberate safeguards.

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.

Audit any website for privacy, security, accessibility, and performance issues — with scores, grades, and actionable fix instructions. No account required.

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

Enables auditing any public website, returning a scored plain-English report that flags issues costing customers, covering speed, phone experience, search visibility, contact options, writing quality, and modernity.

Complete DeFi intelligence — Yield, Staking, Restaking, RWA, Perps, Gas Optimization & Contract Security. One answer, not raw data.

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

Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.

An MCP server that gives AI agents observability over their own tool calls, enabling auditing, cost tracking, latency analysis, and alerting.

Cloud security audit tools for AI agents that provide direct access to cloud APIs to read, correlate, and fix misconfigurations across AWS, Azure, and GCP.

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

Enables AI agents to access ranked economic opportunities and AI-voice pricing intelligence, including falsifiable experiment design, monetization paths, success/kill criteria, and margin calculations grounded in public evidence.

Static audit of Kubernetes manifests via MCP, powered by kube-linter. Returns structured reports with severity, check ID, category, message, and remediation hints.

An MCP server that audits Dockerfiles for security and quality issues, providing structured reports with severity, line numbers, remediation, and fix snippets.

Free MCP tools for context engineering audits of AI agents, offering on-demand analysis of system prompts, tool definitions, and context packing.