"JetBrains YouTrack issue and project tracking tool" matching MCP servers:

A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

Enables AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

MCP server for managing Docker containers, images, and Compose services via natural language, with configurable tool permissions and safety annotations.

Enables AI assistants to manage Docker containers, images, volumes, networks, and compose projects through Arcane's API. Provides comprehensive tools for environment, container, image, volume, network, project, and system operations.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

Enables AI assistants to execute commands on a Proxmox host via SSH with built-in security blocks for destructive operations. It supports key-based authentication and provides a dedicated tool for remote server management tasks like listing virtual machines and containers.

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

MCP server that exposes fleet-aware KVM primitives for AI agents to control TinyPilot devices, including screen capture, keyboard input, mouse events, and device selection.

Enables AI assistants to manage Massed Compute GPU instances, including browsing inventory, launching and managing VMs, and auditing billing.

Enables AI agents to safely test and debug PowerShell, CMD/BAT scripts, and system utilities inside isolated Hyper-V virtual machines, with snapshot rollback, host-to-guest file transfer, PowerShell Direct execution, and autonomous self-correction on failures.

HTTP MCP adapter for requesting VMs and inspecting state. Part of the vm-forgeyard KVM control plane for test and development virtual machines.

A multitenant Streamable HTTP bridge over Nutanix's Prism Central v4 API MCP server, enabling per-tenant credential forwarding and read-only tool operations.

Enables AI clients to control an Android emulator via MCP, allowing tasks like tapping, typing, swiping, taking screenshots, and installing apps through natural language commands.

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

Enables natural language interaction with VMware SDDC Manager and vCenter APIs through MCP tools, allowing users to query workload domains, VMs, clusters, and more.