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ofershap
by ofershap

Related Servers

Alternatives to mcp-server-docker

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    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage Docker containers and images, including starting, stopping, listing, and building operations.
      2
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.
      6
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage Docker containers, images, networks, volumes, and Compose services through the Model Context Protocol. It supports system operations, command execution within containers, and integration with Docker Hub and GitHub Container Registry.
      61 npm
      2
      MIT

    TDQS

    A3.6/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific Docker operations: logs, stats, exec, listing containers/images, removal, restart, start, and stop. There is no overlap or ambiguity between tools, as each handles a unique action on a well-defined resource.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., list_containers, remove_image, start_container). The naming is predictable and uniform across all tools, making them easily readable and systematic.

    Tool Count5/5

    With 10 tools, the server is well-scoped for Docker management, covering essential operations like lifecycle control (start, stop, restart), inspection (logs, stats, list), and cleanup (remove). Each tool earns its place without redundancy or bloat.

    Completeness4/5

    The toolset provides strong coverage for core Docker workflows, including CRUD-like operations for containers and images. A minor gap exists in creating or building images (e.g., build_image or pull_image), but agents can still perform most common tasks effectively with the available tools.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues