MCP Docker Server

v1.0.0

Community

MCPcontainersdevopsmcpmodel-context-protocol
76
Strong
About This MCP

Community-maintained MCP server for Docker container management. Enables AI models to interact with Docker Engine for container lifecycle management, image operations, volume management, and network configuration. Essential for AI-powered containerized application deployment and DevOps automation.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
docker api reliability

API stability analysis

Evidence
Docker Engine API — Built on stable Docker Engine API with mature implementation
highVerified: 2025-11-09
container operation success

Operation success testing

Evidence
Docker MCP Server — High success rate for container and image operations
highVerified: 2025-11-09
resource monitoring accuracy

Monitoring accuracy assessment

Evidence
Docker Stats API — Accurate real-time container resource metrics
highVerified: 2025-11-09
image pull reliability

Image operation testing

Evidence
Docker Hub — Depends on registry availability and network conditions
mediumVerified: 2025-11-09
error recovery

Error handling testing

Evidence
Implementation Review — Handles Docker errors with graceful fallback and retry
mediumVerified: 2025-11-09
🛡️Security
+
docker socket access

Access control assessment

Evidence
Docker Security — Requires Docker socket access, equivalent to root privileges
highVerified: 2025-11-09
container escape risk

Privilege escalation testing

Evidence
Security Analysis — AI can create privileged containers with host access
highVerified: 2025-11-09
image security scanning

Security scanning assessment

Evidence
Implementation Review — No built-in image vulnerability scanning before deployment
mediumVerified: 2025-11-09
network isolation control

Network security testing

Evidence
Docker Networking — Can create and modify Docker networks, affecting isolation
mediumVerified: 2025-11-09
secret exposure risk

Secrets management assessment

Evidence
Security Analysis — Can access container environment variables and Docker secrets
highVerified: 2025-11-09
audit logging

Audit logging review

Evidence
Docker Events — Docker events provide audit trail but not comprehensive
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
container data exposure

Data flow analysis

Evidence
MCP Data Flow — Container configurations, logs, and environment variables sent to LLM
highVerified: 2025-11-09
log privacy

Log privacy assessment

Evidence
Privacy Analysis — Container logs may contain sensitive application data
highVerified: 2025-11-09
environment variable protection

Environment security assessment

Evidence
Security Analysis — Environment variables including secrets accessible to AI
mediumVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider Policies — Container data shared with LLM provider per their privacy policy
highVerified: 2025-11-09
volume data access

Storage privacy assessment

Evidence
Docker Volumes — Can inspect volume mounts and potentially access data paths
mediumVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Docker MCP Docs — Good documentation but community-maintained with varying detail
mediumVerified: 2025-11-09
operation visibility

Logging and traceability assessment

Evidence
Docker Events — Operations logged in Docker events and MCP logs
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub Repository — Open source community implementation
highVerified: 2025-11-09
security warning disclosure

Security disclosure review

Evidence
Security Documentation — Some security warnings but could be more prominent
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
Setup Documentation — Simple setup requiring Docker installation and socket access
highVerified: 2025-11-09
operation performance

Performance benchmarking

Evidence
Docker Performance — Fast local operations; performance depends on host resources
mediumVerified: 2025-11-09
reliability

Reliability analysis

Evidence
Docker Engine Stability — Built on mature Docker Engine with high stability
highVerified: 2025-11-09
feature coverage

Feature coverage assessment

Evidence
Docker MCP Server — Covers containers, images, volumes, networks, and basic orchestration
highVerified: 2025-11-09
community support

Community support assessment

Evidence
GitHub Community — Community-maintained with moderate activity
mediumVerified: 2025-11-09
Strengths
  • +Comprehensive Docker container lifecycle management
  • +Built on stable and mature Docker Engine API
  • +Excellent for DevOps automation and CI/CD workflows
  • +Fast local operations with minimal latency
  • +Open source community implementation
  • +Covers containers, images, volumes, and networks
Limitations
  • !Requires Docker socket access equivalent to root privileges
  • !AI can create privileged containers with host system access
  • !Container logs and environment variables exposed to LLM provider
  • !No built-in image vulnerability scanning
  • !Can access and expose Docker secrets and sensitive configurations
  • !Community-maintained with variable support quality
Metadata
license: MIT
supported platforms
0: Linux
1: macOS
2: Windows (with Docker Desktop)
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
api dependency: Docker Engine API
authentication: Docker socket access
first release: 2024-11
maintained by: Community

Use Case Ratings

code generation

Excellent for containerized application development and deployment automation

customer support

Useful for troubleshooting containerized applications

content creation

Limited applicability; mainly for infrastructure documentation

data analysis

Good for analyzing container metrics and resource utilization

research assistant

Useful for researching containerization patterns and Docker configurations

legal compliance

High security risk; requires very careful access controls

healthcare

High risk due to privileged access; not recommended without strong controls

financial analysis

Moderate risk for financial infrastructure management

education

Excellent for teaching containerization, DevOps, and cloud-native concepts

creative writing

Low relevance to creative writing workflows