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Related Servers

Alternatives to dockhand

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    Related Servers

    • A
      license
      B
      quality
      C
      maintenance
      MCP server for managing Docker containers, images, and Compose services via natural language, with configurable tool permissions and safety annotations.
      16
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      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.
      10
      225 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables managing Docker containers through natural language commands, allowing users to create, list, and delete containers. It facilitates automated container orchestration and integrates with VS Code via the Cline extension.
      72 npm
      MIT

    TDQS

    B3.4/5.0

    Scored across 23 tools

    Disambiguation5/5

    Each tool targets a distinct Docker operation (image build, container exec, stats, logs, stack management, etc.), with clear descriptions that prevent confusion. The only potential overlap is between container_start and run_container, but descriptions clarify that one starts an existing container and the other creates and starts a new one.

    Naming Consistency3/5

    Naming conventions are mixed: some tools use verb_noun (build_image, delete_container), others use noun_verb (container_exec, container_inspect), and list tools use list_noun. While individually readable, the lack of a unified pattern (e.g., all verb_noun or all noun_verb) makes it harder to predict tool names.

    Tool Count4/5

    With 23 tools covering images, containers, volumes, networks, and stacks, the number is appropriate for a Docker management server. It's comprehensive but not overwhelming, though a few tools (like list_networks and list_volumes) could be merged without loss of clarity.

    Completeness4/5

    Core Docker workflows are well-covered: building/pushing images, running/executing/inspecting containers, managing stacks. However, missing network creation/removal and volume creation mean agents may hit dead ends when trying to set up isolated test environments.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues