Docker
Java-based MCP server implementation by Freezeu that provides AI assistants with complete Docker management capabilities through the Docker Java API, supporting both stdio and SSE transport modes for flexible integration. Built using Spring Boot with comprehensive Docker operations including container lifecycle management (create, start, stop, remove), image operations (pull, build, tag, remove), network management, and log retrieval, the implementation connects to Docker daemon via TCP and includes proper error handling with connection validation. The server uses value objects for structured data representation and includes extensive test coverage, making it valuable for DevOps workflows, container orchestration tasks, and AI assistants that need programmatic Docker control for deployment automation, development environment management, or infrastructure monitoring scenarios.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/nideil/mcp-server-docker
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Docker from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.