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

Tamper-evident audit trail for AI agent tool calls. Cryptographically signed, hash-chained records that prove what your agents did.

Transparent Go proxy that intercepts, signs, rate-limits, redacts, and audits all MCP JSON-RPC tool calls without modifying client or server. Stores to JSONL or SQLite with HMAC-SHA256 signatures.

MCP Server for Kubernetes Audit Logs.

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

Provides detailed Lighthouse audits for web pages, returning specific failing elements with actionable suggestions and HTML snippets.

MCP server that provides structured audit logging for AI agent repair tasks via tools to start, record, end, query, and export event traces, with JSONL persistence and SDK integration.

Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-handoff, decision gets a tamper-evident signed record.

Enables read-only operational audits of schedulers, recurring job health, delivery failures, overdue runs, gateway/MCP health, and lock-file inventory without modifying inspected systems.

Provides tamper-proof audit logging for AI agents using SHA-256 hash chains, integrity verification, and compliance reporting for the EU AI Act.

Enables multi-agent system auditing with seven-layer analysis, cost governance, compliance mapping, and watchdog monitoring. Offers tools for audit execution, cost analysis, report verification, regulation lookup, remediation suggestions, and fix tracking.

Prediction stability engine for AI agents. Evaluate model stability, detect ghosts, probe any LLM for instability, monitor fleet drift. 20 tools + 1 resource. Works with Claude, Cursor, VS Code.

Provides an immutable, tamper-evident audit trail for AI agents, enabling event logging with cryptographic chaining, search, verification, and statistics.

A read-only MCP server exposing GPON access-network tools for inventory, status, configuration diff, and alarms, enabling a LangGraph agent to audit ONT provisioning against a golden baseline. It runs against a simulated network and enforces read-only constraints at multiple levels.

Read-only MCP server for querying Microsoft Purview unified audit logs across M365 workloads, wrapping the Graph API's asynchronous audit log search.

Behavioral trust scoring for MCP servers and AI agents. Live registry tracking 4,500+ servers with trust scores (0-100) based on interaction history, success rates, and latency

Expert system hardware probe and performance diagnostic engine for AI, Gaming, and High-Performance workflows. Provides deep system insights such as real-time monitoring, thermal diagnostics, and LLM optimization.

MCP server that analyzes AI agent session logs to find token waste and optimization opportunities.

Enables AI agents to self-audit their token usage and costs, providing burn reports, forensics, and optimization recommendations via MCP.

Enables AI assistants and coding agents to audit, compare, and optimize websites for performance, SEO, AEO, GEO, and AI crawler accessibility directly from chat or development workflows.

Lets you inspect a Datadog organization's usage and answer cost questions in plain English, helping identify savings opportunities.