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Alternatives to docker-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants like Claude to manage Docker containers, images, and Docker Compose deployments through the Model Context Protocol. Provides secure container lifecycle management, image operations, and multi-host Docker server connections.
      168 npm
      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
      255 npm
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.
      6
      74 npm
      4
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      A TypeScript server that fully implements the Model Context Protocol (MCP) standard, providing API access to Docker CLI operations like build, run, stop, and image management through compatible AI clients.
      -

    TDQS

    B3.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: create-container for creating containers, deploy-compose for deploying stacks, get-logs for retrieving logs, and list-containers for listing containers. The descriptions make it easy to tell them apart.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., create-container, deploy-compose, get-logs, list-containers). There are no deviations in naming style or conventions.

    Tool Count4/5

    With 4 tools, the count is reasonable for a Docker MCP server, covering key operations like creating, listing, and managing containers and stacks. It's slightly lean but well-scoped for basic Docker management tasks.

    Completeness3/5

    The toolset covers core operations (create, list, logs, deploy) but has notable gaps, such as missing update, delete, or stop/start container tools, which could limit agent workflows for full container lifecycle management.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive