docker_mcp_server

Provides a Model Context Protocol (MCP) server that exposes Docker Engine and Docker Swarm operations as MCP Tools, using the mcp_mediator framework to auto-generate tool interfaces from Docker client methods (optionally with @McpTool annotations).

Evaluated Apr 04, 2026 (17d ago)
Homepage ↗ Repo ↗ Infrastructure mcp model-context-protocol docker swarm devtools automation infrastructure java
⚙ Agent Friendliness
50
/ 100
Can an agent use this?
🔒 Security
40
/ 100
Is it safe for agents?
⚡ Reliability
25
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
74
Documentation
72
Error Messages
0
Auth Simplicity
65
Rate Limits
10

🔒 Security

TLS Enforcement
60
Auth Strength
45
Scope Granularity
20
Dep. Hygiene
35
Secret Handling
40

Security is largely delegated to Docker daemon access controls (TLS client verification via --tls-verify/--cert-path) and to Docker registry auth for push/pull tools. README does not describe MCP-level auth, authorization scopes, allowlisting, sandboxing, audit logging, or secret redaction behavior. The tool set includes highly sensitive/dangerous capabilities (exec, copy archives, logs, remove/prune/kill), so the deployment must be network-restricted and permission-scoped at the Docker daemon level.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
40
Error Recovery
20
AF Security Reliability

Best When

You have an MCP-capable client (e.g., Claude Desktop) running locally or in a controlled network and you want the agent to perform Docker/Swarms tasks by calling well-named MCP tools.

Avoid When

You cannot restrict the Docker host permissions or you need robust safeguards against data exfiltration (logs/files via copy/logs/exec) and destructive operations (remove/prune/kill).

Use Cases

  • Control a Docker host via an MCP-capable agent (start/stop containers, inspect resources, manage networks/volumes/images).
  • Swarm administration through MCP tools (join/leave/update/initialize, inspect swarm state).
  • Integrate Docker operations into AI-driven workflows in tools-first environments like Claude Desktop via an MCP server definition.

Not For

  • Running untrusted or arbitrary Docker commands without access controls and auditing.
  • Multi-tenant environments where tool calls could affect other users’ containers/registries.
  • Public internet exposure of an agent-controlled Docker bridge without strong network and auth hardening.

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Docker Engine API authentication via TLS client certificates (tcp:// with --tls-verify and --cert-path). Docker registry auth for pull/push/auth tools (reported as supported; exact method not specified in README).
OAuth: No Scopes: No

No dedicated MCP authentication/authorization is described in the README; access is effectively controlled by who can reach the MCP server process and by Docker daemon permissions/tls settings.

Pricing

Free tier: No
Requires CC: No

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Destructive commands are exposed as tools (remove/kill/prune/leave/swarm operations), so an agent needs strict guardrails/allowlists.
  • The MCP tool interface is largely auto-generated; tool parameter naming/types and edge-case behavior may require inspecting the underlying DockerClientService and DockerMcpServer implementation.
  • Many commands interact with the Docker daemon and may fail due to permissions, daemon availability, or TLS/cert configuration; README does not document expected error formats or recovery patterns.
  • Operations that transfer data (docker_copy_archive_to_container/from_container, docker_log_container/service, docker_exec_command) can enable sensitive data exposure unless constrained.

Alternatives

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Scores are editorial opinions as of 2026-04-04.

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