An MCP server that enables seamless management of Novita AI platform resources, currently supporting GPU instance operations (list, create, start, stop, etc.) through compatible clients like Claude Desktop and Cursor.
A lightweight, centralized control plane server that enables management of multiple Kubernetes clusters simultaneously, supporting context switching and CRUD operations on common Kubernetes resources.
A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.
A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.
An MCP server that enables interaction with development containers through the devcontainers CLI, allowing users to start, run commands in, and execute arbitrary shell commands inside devcontainers.
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 enabling AI assistants to directly interact with infrastructure tools like Ansible and Terraform for executing playbooks, managing cloud resources, and performing other infrastructure operations.
A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.
An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.
This Model Context Protocol server enables interaction with RunPod's REST API through Claude or other MCP-compatible clients, providing tools for managing pods, endpoints, templates, network volumes, and container registry authentications.
Enables interaction with Hyperbolic's GPU cloud, allowing users to view available GPUs, rent instances, establish SSH connections, and run GPU-powered workloads through natural language commands.
Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.
Provides programmatic and CLI tools for managing Coolify deployments, allowing users to control applications, services, databases, and infrastructure through natural language or command line.
A server implementation that enables remote Python code execution in Unreal Engine environments, featuring automatic Unreal node discovery and management through a multicast network.
Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.
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.
Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.
Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
An enhanced Python-based MCP server that enables complete VM lifecycle management and monitoring of Proxmox virtualization platforms through natural language, with 11 REST API endpoints for seamless integration.
A Model Context Protocol (MCP) server for running Genesis World simulations with integrated visualization support, using stdio transport to enable local runtime visualization features.
An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.
A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.
A middleware service that allows LLMs and AI assistants to directly interact with the Dokploy platform through a standardized interface, providing access to Docker, project, and application management capabilities.
Provides tools and infrastructure for building fully on-chain Minecraft Protocol servers that enable developers to create decentralized gaming experiences using blockchain technology.
A Python-based server enabling interaction with Proxmox hypervisors. It supports secure authentication and provides tools for managing nodes, VMs, clusters, and storage.
An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
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.
An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.
A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.
Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.
A Model Context Protocol server that enables natural language control of Ludus cybersecurity training environments, allowing users to deploy, manage, and configure virtualized security training ranges.
An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.
Facilitates isolated code execution within Docker containers, enabling secure multi-language script execution and integration with language models like Claude via the Model Context Protocol.
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.
A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.
A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.
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.
A Model Control Protocol server that extends AI assistants with Kubernetes operations capabilities, allowing for managing deployments, pods, services and other K8s resources.
Enables safe Python code execution in isolated Docker containers through the AgentRun framework. Provides automatic container lifecycle management and comprehensive error handling for secure and reproducible code execution.
A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.
A production-ready MCP server ecosystem providing Claude AI with 150+ specialized tools across enhanced memory, data analytics, security, design, and infrastructure domains with PostgreSQL, Redis, Qdrant, and Docker orchestration.
Facilitates deployment and management of services using the Model Context Protocol with a focus on high availability, scalability, and secure communication, leveraging Docker-based infrastructure, Prometheus, and Grafana for monitoring.
Provides isolated Docker environments for code execution, enabling users to create and manage containers, execute multi-language code, save and reproduce development environments, ensuring security and isolation.
A management service that orchestrates multiple server processes organized into logical sections, providing centralized control for starting, stopping, and monitoring servers with support for containerization.
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.
A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.
A JSON-RPC server that simplifies managing KVM virtual machines by providing a centralized interface for VM lifecycle, networking, storage, and display management tasks.
Enables AI interactions with a running Minecraft server inside a Docker container using RCON, allowing models to programmatically create Minecraft builds and manage the server.
A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.
Provides a scalable, containerized infrastructure for deploying and managing Model Context Protocol servers with monitoring, high availability, and secure configurations.
A comprehensive toolkit that enables automated interaction with Cisco Modeling Labs (CML) for creating network topologies, configuring devices, and managing lab environments.
A multiplayer first-person 3D virtual house environment with interactive elements including a TV with image display system and computer terminal for accessing MCP systems.
An MCP server that enables Large Language Models or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit), allowing users to control STK Desktop simulations programmatically or via natural language.
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.
A configurable server implementation that provides MCP (Model-Controller-Protocol) functionality, supporting both Node.js and Docker environments with automated setup and configuration options.
A TypeScript server that fully implements the Model Context Protocol (MCP) standard, providing API access to Docker CLI operations like build, run, stop, and image management through compatible AI clients.