"Secure Shell (SSH) Overview or Usage" matching MCP connectors:

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

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

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

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.

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

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

Company analytics for Deepgent workspaces: usage, conversations, quality, billing, KB status.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.

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

Analytics and debugging for your MCP server — explore usage and sessions, then root-cause errors.

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

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

A paid remote MCP for AI SDK MCP gateway registry, built to return verdicts, receipts, usage logs, a

A paid remote MCP for AI SDK data query MCP, built to return verdicts, receipts, usage logs, and aud

Secure Nvoip MCP server for reports, call analytics, service quality, and business insights.

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.