"Understanding Vite running status in terminal commands" matching MCP connectors:

Monitor uptime and incidents, run checks, and publish status updates from your Uptimepage org.

Reports the launch status of YK Blueprint.

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

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

Check real-time uptime and incident status for 285 APIs and cloud services.

Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.

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

Uptime, API and server monitoring with outages, reporting, on-call and status pages.

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.

Manage status pages: components, incidents and maintenances; set live component status.

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

Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.

Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.

Ecosystem monitoring: service status and x402 activity metrics

AI-ready vendor incident status with public active incidents and plan-scoped history.

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.

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

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