"List of at least 20 Minecraft servers without APIs" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Check real-time uptime and incident status for 275+ APIs and cloud services.
Manage hosted agentguard proxies: caps, dry-run, loop breaker, run reports, audit export.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Real-time status & uptime monitoring for 200+ popular APIs — is it down, and how reliable?
Transparent public utilities for agents. Requests are counted without storing identifiers.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Manage Cronitor monitors and send telemetry pings — list, inspect, create, update, delete.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, 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.
Gain visibility into the performance, availability, and health of your apps and infrastructure.
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
