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Alternatives to mcpdockery

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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
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    • F
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      B
      quality
      B
      maintenance
      An MCP server that gives LLMs direct control over a local Docker daemon, enabling container, image, volume, network, and Compose stack management through natural language.
      23
      4
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.
      1,712 PyPI
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      GPL 3.0
    • A
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      B
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      MCP server for Portainer REST API that enables AI assistants to manage Docker containers, stacks, images, networks, and volumes through natural language.
      18
      13 npm
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    • F
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that provides full lifecycle management of lightweight VMs backed by Docker containers, enabling creation, SSH access, command execution, and resource monitoring through natural language.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server for Podman and Docker container runtimes, enabling management of containers, images, networks, and volumes via AI assistants.
      83
      Apache 2.0

    TDQS

    B3.1/5.0

    Scored across 34 tools

    Disambiguation4/5

    Most tools have clear, distinct purposes (e.g., container_logs vs. container_stats vs. docker_doctor), but a few overlap in intent (scan_dockerfile vs. lint_dockerfile vs. audit_dockerfile) and could confuse an agent if descriptions are not read carefully.

    Naming Consistency2/5

    Naming is inconsistent: some tools use object_verb (container_logs, container_restart), others use verb_object (stop_container, delete_container), and some have no clear pattern (docker_doctor, generate_sbom). This makes it harder to predict tool names.

    Tool Count3/5

    With 34 tools, the server is heavy for a typical MCP, but it covers a broad Docker domain comprehensively. Each tool has a distinct function, so the count is justified, though it exceeds the typical 3-15 range.

    Completeness5/5

    The toolset covers all major Docker operations: container lifecycle, image management, Dockerfile analysis, volumes, networks, and health/security checks. No obvious gaps for common Docker workflows.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues