"Search or general inquiry" matching MCP connectors:

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

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.

Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.

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

Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.

Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

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.