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    Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
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    Apache 2.0
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    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.
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    GPL 2.0
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    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
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    MIT
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    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.
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    MIT
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    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.
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    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.
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    MIT
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    An MCP server that enables AI assistants like Claude to manage Unraid servers through natural language. Install it from Community Applications and control your homelab from any MCP-compatible AI client.
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    MIT
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    DockaShell is an MCP server that provides AI agents with isolated Docker containers for persistent shell access, file operations, and full audit trails, enabling autonomous development and self-evolving workflows.
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    Apache 2.0
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    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.
    Last updated
    MIT