"Finding the best Minecraft plugin compatible with the Cursor tool" matching MCP connectors:

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/

Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di

Reports the launch status of YK Blueprint.

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

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

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

Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.

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.

Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.

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

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

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.

EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.

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

Gain visibility into the performance, availability, and health of your apps and infrastructure.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.

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.

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.