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    TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.
    39
    3
    MIT
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    MCP server for the Agent Platform API, enabling management of sandbox environments through MCP protocol. Exposes tools to interact with sandbox lifecycle operations such as start, stop, and status checks.
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    MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.
    35
    233 npm
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    MIT
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    Exposes tools over stdio that let an AI agent create disposable Docker sandboxes to run commands and stream output, read and write files, and take snapshots, roll them back, fork them, list, and destroy them. It tells the model to snapshot before risky changes so failed attempts can be undone or explored in parallel on self-hosted infrastructure.
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    Apache 2.0
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    MCP server for building and driving VMware Workstation VMs from an AI agent, enabling unattended OS installs, guest command execution, file transfer, screenshots, and fleet management.
    29 npm
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    MIT
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    MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.
    MIT
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    Enables AI agents to control local Android virtual devices managed by DroidLume, including device lifecycle, app management, UI input, screenshots, and diagnostics through structured MCP tools.
    17 npm
    MIT
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    Docker Helper MCP server that provides tools for automating Docker tasks such as generating Dockerfiles, parsing docker-compose files, and optimizing images.
    8 npm
    64 PyPI
    MIT
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    Enables users to query Azure HPC/AI Kubernetes clusters for GPU node information and InfiniBand topology details through kubectl commands. Provides tools to list GPU pool nodes with their status and retrieve network topology labels for high-performance computing workloads.
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    Enables AI clients to manage Huawei eNSP simulated network devices, execute CLI commands, apply configurations, and perform network diagnostics through natural language, with topology upload and visualization via a web UI.
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