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Manage Docker containers, servers, stacks, and deployments through AI via MCP.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Komodo MCP Server" MCP server from askskill: Run: claude mcp add 'io-github-mp-tool-komodo-mcp-server' -- npx -y komodo-mcp-server
DevOps engineers or developers can use AI to query the current status of Docker containers, servers, and stacks without checking each item manually. It is useful for routine inspections and quick environment overviews.
When a team needs to know whether a release has completed, failed, or is still running, this tool can centralize deployment-related information. That makes it easier to spot deployments that need further attention.
For teams maintaining multiple servers and containerized services, this MCP tool serves as a management interface between AI and Komodo. It is suitable for centrally reviewing and organizing infrastructure resources.
This is an MCP server for Komodo that lets AI manage Docker containers, servers, stacks, and deployments. Its core purpose is to expose these operational resources to MCP-based workflows.
Based on the description, it can manage Docker containers, servers, stacks, and deployments. For the detailed operation scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key configuration details. For prerequisites and setup, see the source repository.
Manage Komodo servers, deployments, builds, and stacks using natural language.
Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Manage Docker and Kubernetes resources with natural language for faster operations.
Manage Docker containers, images, Compose, Swarm, and registries from one tool.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Manage Kubernetes resources with natural language for deployment and troubleshooting.