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

Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.

MCP tool observatory: do registry servers answer, and are their answers true? No key.

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.

The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.

CortexB

io.cortex.mcp

The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.

ZopnightOAuth

dev.zop.api

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

gtmetrixOAuth

com.gtmetrix

Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.

Tamper-evident audit log service for agent-to-agent transactions

High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.

Polar SignalsOAuth

com.polarsignals.api

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

Governed MCP gateway: one endpoint for your tools, with credential custody and audit log.

Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.

Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-ha...

A paid remote MCP for Decapod, built to return verdicts, receipts, usage logs, and audit-ready JSON.

A paid remote MCP for Skybridge, built to return verdicts, receipts, usage logs, and audit-ready JSO

Paid remote MCP for agent design system guard MCP, structured receipts, audit logs, and reviewer-rea