docker2k8s-mcp
Related Servers
Alternatives to docker2k8s-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.1MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.9MIT

kubestellar-mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to inspect and operate multiple Kubernetes clusters through natural language, providing multi-cluster diagnostics, RBAC analysis, security checks, and app-centric deployment with GitOps and smart workload placement.2Apache 2.0- FlicenseNot gradedqualityCmaintenanceExposes Kubernetes cluster management tools to LLMs, enabling querying pods, deployments, logs, metrics, and managing port forwards via natural language.1-
- AlicenseAqualityBmaintenanceEnables AI assistants to manage Docker containers and Compose stacks through natural language, including lifecycle operations, logs, stats, and secure remote access.211 npm3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to autonomously check, diagnose, and recover Dockerized services through safe, tool-based ops without direct host shell access.MIT
TDQS
Scored across 17 tools
Each tool targets a distinct phase or resource: inspection, planning, generation, validation, deployment, and specific Kubernetes status checks. The descriptions clearly differentiate overlapping-looking tools like inspect_project, inspect_dockerfile, and inspect_compose by specifying their exact scope.
All tool names follow a consistent snake_case verb_noun pattern, with verbs like get, inspect, create, generate, validate, apply, verify, and diagnose. This makes the toolset highly predictable and easy for an agent to navigate.
17 tools is slightly above the typical 3-15 range, but the count is justified by the full migration-and-operations lifecycle the server covers. Each tool appears to serve a necessary, non-overlapping purpose, so the set feels slightly heavy yet reasonable.
The toolset covers the complete Docker-to-Kubernetes workflow from artifact inspection, analysis, planning, manifest generation, validation, deployment, and post-deployment verification/diagnosis. Minor gaps such as no explicit rollback or cleanup tool are present, but the core migration lifecycle has no dead ends.