Docker MCP Server
Related Servers
Alternatives to Docker MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server for Podman and Docker container runtimes, enabling management of containers, images, networks, and volumes via AI assistants.83Apache 2.0
- FlicenseNot gradedqualityCmaintenanceAn MCP server that gives any LLM client the ability to list, inspect, start, stop, and monitor Docker containers on the host machine.1-
- AlicenseNot gradedqualityBmaintenanceMCP server exposing the Dockhand API as MCP tools. Enables AI assistants to manage Docker infrastructure including containers, stacks, images, networks, and volumes across multiple hosts.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to manage Docker containers through a secure MCP interface, supporting container lifecycle operations, log inspection, resource monitoring, and system diagnostics with role-based access control.3MIT
- AlicenseBqualityDmaintenanceAn AI-powered MCP server for managing Docker infrastructure, enabling creation, deployment, and lifecycle management of containerized services with automated DNS and SSL.10MIT
- AlicenseNot gradedqualityDmaintenanceA production-ready Model Context Protocol (MCP) server that provides comprehensive DockerHub integration for AI assistants. This server enables AI assistants to search, analyze, and manage Docker images through standardized MCP tools.MIT
TDQS
Scored across 12 tools
Every tool has a clearly distinct purpose targeting specific Docker resources and actions. For example, create_container and run_container are well-differentiated by their descriptions, with run_container explicitly noted as the preferred method for starting containers. There is no ambiguity or overlap in functionality across the tool set.
All tool names follow a consistent verb_noun pattern using snake_case, such as list_containers, create_container, and stop_container. This predictable naming convention makes it easy for agents to understand and select the appropriate tools without confusion.
With 12 tools, the server is well-scoped for managing Docker containers, images, networks, and volumes. Each tool earns its place by covering essential operations like creation, listing, starting, stopping, and removal, without being overly sparse or bloated.
The tool set provides strong coverage for core Docker operations, including CRUD for containers and listing for other resources. Minor gaps exist, such as no tools for creating or removing networks/volumes, but agents can still perform most workflows effectively with the available tools.