Docker Helper MCP server that provides tools for automating Docker tasks such as generating Dockerfiles, parsing docker-compose files, and optimizing images.
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.
Connects Claude Desktop to any Kubernetes cluster, enabling natural language queries for diagnostics and operations such as listing pods, viewing logs, scaling deployments, and more.
MCP server for Proxmox VE and Proxmox Datacenter Manager, covering every API endpoint via six consolidated tools for list, describe, and call operations with a read-only safety gate.
Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.
An MCP server that enables natural language querying and troubleshooting of Kubernetes clusters, supporting multi-cluster switching and providing tools for pods, nodes, events, and logs.
A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.
Enables management of Proxmox VE virtual environments (VMs, containers, storage, snapshots, etc.) through natural language via MCP, with async task polling for reliable write operations.
Enables AI agents to manage WSL containers and images via the wslc CLI, supporting container lifecycle, network, volume, and registry operations through natural language.
An MCP server that enables AI assistants to manage Docker containers, images, networks, and volumes through a standardized interface. It supports comprehensive operations like container lifecycle management and image pulling while ensuring correct handling of command and environment variable arrays.
Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.
Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.
An MCP server for the Spot.io API that enables management of AWS and Azure Ocean clusters across multiple accounts. It provides tools for cluster inventory, node management, cost analysis, and scaling operations through natural language.