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133,407 tools. Last updated 2026-05-12 22:37

"docker mcp" matching MCP tools:

  • View all Docker images available on your system to manage containers and resources through the Docker MCP Server.
    MIT
  • Manage Docker Compose services to start, stop, monitor, and control multi-container applications through the Docker MCP Server.
    MIT
  • Fetch logs from Coolify containers, Docker services, or system journal, and monitor CPU, RAM, and disk usage on Kastell-managed servers via SSH.

Matching MCP Servers

Matching MCP Connectors

  • Use your own Word templates to convert Markdown → DOCX/PDF/HTML from any MCP-compatible AI.

  • An MCP server for deep research or task groups

  • Retrieve complete project information including docker-compose.yml contents, metadata, and deployment status. Use to inspect settings, review compose file, or check project health.
    MIT
  • Restart a Docker Compose service in your OpenSIPS environment. Specify the service name to quickly restart it, defaulting to opensips.
    Apache 2.0
  • Manage upstream MCP server configurations: add, remove, update, list, patch, and tail logs. Includes Docker isolation and automatic quarantine against Tool Poisoning Attacks.
  • Scan a Docker/OCI container image for vulnerabilities. Submit an image reference to get a job ID for tracking progress.
    MIT
  • Start Docker services for LaunchFrame projects in the background. Use this tool to launch specific services or all services, then check logs for output.
    MIT
  • Scan MCP configurations and Docker images to evaluate compliance with OWASP LLM Top 10, OWASP MCP Top 10, MITRE ATLAS, and NIST AI RMF, returning per-control pass/warning/fail status and an overall score.
  • Checks infrastructure health including Docker, Qdrant, Ollama, and embedding model to diagnose setup issues.
    AGPL 3.0
  • Remove Docker containers from your system. Specify container ID or name, and use force=true to stop and delete running containers.
    MIT
  • Launch a vLLM server in a Docker container to serve HuggingFace models. Automatically detects platform and GPU availability for optimized deployment.
    Apache 2.0