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    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.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.
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    MIT
  • A
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    Enables remote Docker management over SSH via a local MCP server, providing tools to manage containers, images, Compose, and system resources.
    Last updated
    GPL 3.0
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    A Model Context Protocol (MCP) server for Proxmox Virtual Environment that enables AI assistants to manage virtual machines, containers, nodes, and resources through natural language interactions.
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    3
    MIT
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    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.
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    45
    MIT
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    Enables managing Docker containers and Portainer resources through natural language, supporting stack deployment, container operations, and environment monitoring.
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    A Model Context Protocol server that provides programmatic access to Amazon EKS clusters, allowing AI assistants to manage and interact with Kubernetes resources. It exposes cluster operations like listing pods as callable tools through a standardized interface.
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    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.
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    2
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    MIT