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MCP Docker Server

Community

76·Strong

Overall Trust Score

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.

containers
devops
mcp
model-context-protocol
Version: 1.0.0
Last Evaluated: November 9, 2025
Official Website →

Trust Vector

Performance & Reliability

85
docker api reliability
90
Methodology
API stability analysis
Evidence
Docker Engine API
Built on stable Docker Engine API with mature implementation
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
container operation success
88
Methodology
Operation success testing
Evidence
Docker MCP Server
High success rate for container and image operations
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
resource monitoring accuracy
85
Methodology
Monitoring accuracy assessment
Evidence
Docker Stats API
Accurate real-time container resource metrics
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
image pull reliability
82
Methodology
Image operation testing
Evidence
Docker Hub
Depends on registry availability and network conditions
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
error recovery
83
Methodology
Error handling testing
Evidence
Implementation Review
Handles Docker errors with graceful fallback and retry
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Security

65
docker socket access
55
Methodology
Access control assessment
Evidence
Docker Security
Requires Docker socket access, equivalent to root privileges
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
container escape risk
60
Methodology
Privilege escalation testing
Evidence
Security Analysis
AI can create privileged containers with host access
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
image security scanning
70
Methodology
Security scanning assessment
Evidence
Implementation Review
No built-in image vulnerability scanning before deployment
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
network isolation control
68
Methodology
Network security testing
Evidence
Docker Networking
Can create and modify Docker networks, affecting isolation
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
secret exposure risk
62
Methodology
Secrets management assessment
Evidence
Security Analysis
Can access container environment variables and Docker secrets
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
audit logging
75
Methodology
Audit logging review
Evidence
Docker Events
Docker events provide audit trail but not comprehensive
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Privacy & Compliance

68
container data exposure
65
Methodology
Data flow analysis
Evidence
MCP Data Flow
Container configurations, logs, and environment variables sent to LLM
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
log privacy
62
Methodology
Log privacy assessment
Evidence
Privacy Analysis
Container logs may contain sensitive application data
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
environment variable protection
68
Methodology
Environment security assessment
Evidence
Security Analysis
Environment variables including secrets accessible to AI
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
third party data sharing
70
Methodology
Data sharing analysis
Evidence
LLM Provider Policies
Container data shared with LLM provider per their privacy policy
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
volume data access
72
Methodology
Storage privacy assessment
Evidence
Docker Volumes
Can inspect volume mounts and potentially access data paths
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Trust & Transparency

80
documentation quality
78
Methodology
Documentation completeness review
Evidence
Docker MCP Docs
Good documentation but community-maintained with varying detail
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
operation visibility
82
Methodology
Logging and traceability assessment
Evidence
Docker Events
Operations logged in Docker events and MCP logs
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
open source transparency
88
Methodology
Source code review
Evidence
GitHub Repository
Open source community implementation
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
security warning disclosure
72
Methodology
Security disclosure review
Evidence
Security Documentation
Some security warnings but could be more prominent
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Operational Excellence

82
ease of setup
85
Methodology
Setup complexity assessment
Evidence
Setup Documentation
Simple setup requiring Docker installation and socket access
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
operation performance
83
Methodology
Performance benchmarking
Evidence
Docker Performance
Fast local operations; performance depends on host resources
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
reliability
85
Methodology
Reliability analysis
Evidence
Docker Engine Stability
Built on mature Docker Engine with high stability
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
feature coverage
80
Methodology
Feature coverage assessment
Evidence
Docker MCP Server
Covers containers, images, volumes, networks, and basic orchestration
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
community support
75
Methodology
Community support assessment
Evidence
GitHub Community
Community-maintained with moderate activity
Date: 2025-11-16
Confidence: mediumLast verified: 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

92

Excellent for containerized application development and deployment automation

customer support

75

Useful for troubleshooting containerized applications

content creation

55

Limited applicability; mainly for infrastructure documentation

data analysis

78

Good for analyzing container metrics and resource utilization

research assistant

70

Useful for researching containerization patterns and Docker configurations

legal compliance

58

High security risk; requires very careful access controls

healthcare

52

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

financial analysis

60

Moderate risk for financial infrastructure management

education

90

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

creative writing

45

Low relevance to creative writing workflows