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465,907 tools. Updated 2026-08-19 09:09

"Setting Up AI Employee Tools on Docker Containers with MCP Servers" matching MCP tools:

  • Summarize Docker disk usage per object type to identify reclaimable space and plan pruning of images, containers, volumes, and build cache.
    MIT
  • Lists Docker containers (including stopped) and images for inventory. Read-only via API; fails if daemon is unreachable.
    MIT
  • Retrieve a combined Docker snapshot with containers, images, running stats, disk usage, and networks. Read-only API; per-part errors are included without failing the call.
    MIT
  • Activate one or more MCP servers to load their tools into the current session. Optionally expose only specified tools by name, reducing context bloat.
    Cryptographic Autonomy 1.0 (Combined Work Exception)

Matching MCP Servers

Matching MCP Connectors

  • Unload MCP server tools from the current session to free context. Servers remain configured and can be reloaded later. Idle servers auto-unload after 10 calls to other servers.
    Cryptographic Autonomy 1.0 (Combined Work Exception)
  • Search the mpak registry for MCP servers using a query, returning package details like description, tools, version, and verification status.
    MIT
  • Completely deletes a Docker Compose project from a virtual machine, stopping all containers and removing associated resources such as networks, volumes, and images. This irreversible operation frees up system resources.
    MIT
  • Fix stale Docker connections by closing pooled clients; they rebuild automatically on next use, leaving running containers untouched.
    MIT
  • Start all stopped services in a Docker Compose project, bringing up containers in dependency order to resume operations after a stop or reboot.
    MIT
  • List Docker containers, with optional inclusion of stopped ones. Access is controlled by container.read permission.
    MIT
  • Control Docker containers on a remote Linux server via SSH, enabling actions like listing, log viewing, starting, stopping, restarting, checking stats, and executing commands without Docker API or open ports.
    Apache 2.0
  • Lists all MCP servers configured in your AI client, with environment variables masked. Helps you see existing setups before adding new servers or find exact server names for testing or removal.
    MIT
  • Analyze a project directory to identify its tech stack and get recommendations for MCP servers that integrate with it. Checks already installed servers to show what's missing.
    MIT
  • Manage upstream MCP servers: add, remove, update, list, and monitor connections with Docker isolation and automatic quarantine for security.
    MIT