"Tips for Improving Cursor Performance or Appearance" matching MCP servers:

MCP server for YouGPU REST API that enables GPU catalog browsing, instance lifecycle management (create, stop, start, delete), and balance checking.

A Python-based Model Context Protocol server that enables managing Proxmox virtualization platform through Cursor IDE, supporting complete VM lifecycle management including creation, power control, and deletion.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A PROXMOX implementation containing 152 tools covering QEMU VMs, LXC, unified guest power, storage admin, cluster/tasks, snapshots, backups (incl. scheduled jobs), migration, HA, firewall (incl. IPSet CIDRs), access control, replication, SDN (read), ACME (read), pools, and console tickets.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

Enables AI-powered creation, configuration, and management of DevContainer environments using natural language prompts. Supports 11+ templates for popular development stacks and provides container lifecycle operations through VS Code, Cursor, or any MCP-compatible editor.

Domain Name MCS server from OSIR, an ICANN-accredited registrar: 105 tools and 11 prompts to search, register, renew, transfer, and manage domains, DNS, VPS, email, and websites from Claude, ChatGPT, Cursor, or any MCP client

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

Enables administering VMware ESXi or vCenter hosts through MCP clients, exposing tools to authenticate, list, create, clone, power on and off, and delete virtual machines, and to retrieve VM performance statistics. Supports both native SSE and Streamable HTTP transports for integration with current MCP clients.

Enables VMware vCenter management via MCP, adding real-time and historical performance monitoring, VM lifecycle operations, snapshots, ISO mounting, and network/host management through natural language.

Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.

MCP server for managing Proxmox VE hosts, providing VM health reports, alerts, and a chat interface via terminal or Cursor.

MCP server for automating VLP lab VM operations, exposing VM management tools to AI agents like Cursor and Claude Code.

Enables helpdesk operators to manage Horizon user sessions, restart or log off desktops, monitor pool health, and diagnose performance issues through natural language.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.