# Docker MCP Server - Implementation Summary
## Problem Statement
The repository needed a fully functional, feature-rich, industry-standard compliant MCP Server for Docker daemon communication. The previous implementation had array handling issues that caused errors when integrated with VS Code and GitHub Copilot.
## Solution Implemented
### Core Implementation
- **Technology Stack**: TypeScript + Node.js
- **MCP SDK**: @modelcontextprotocol/sdk ^1.0.4
- **Docker Library**: dockerode ^4.0.2
- **Build System**: TypeScript compiler with ES2022 target
### Key Fix: Array Handling
The critical fix addresses how Docker API parameters are passed:
**Before (Incorrect):**
```typescript
command: string | null
entrypoint: string | null
```
**After (Correct):**
```typescript
Cmd: string[] | undefined // Command as array
Entrypoint: string[] | undefined // Entrypoint as array
Env: string[] | undefined // Environment vars as array
```
### Features Implemented
#### Container Operations
1. **list_containers** - List all containers with filtering
2. **create_container** - Create container with proper array support
3. **run_container** - Create and start (recommended method)
4. **start_container** - Start existing container
5. **stop_container** - Stop running container
6. **remove_container** - Remove container with force option
7. **inspect_container** - Get detailed container info
8. **container_logs** - Fetch container logs
#### Image Operations
1. **list_images** - List all images
2. **pull_image** - Pull from registry
#### Resource Operations
1. **list_networks** - List Docker networks
2. **list_volumes** - List Docker volumes
### Array Parameters Fixed
1. **Command Arrays**: `["python", "app.py", "--port", "8000"]`
2. **Environment Variables**: `["NODE_ENV=production", "PORT=3000"]`
3. **Port Bindings**: `{"80/tcp": [{"HostPort": "8080"}]}`
4. **Volume Bindings**: `["/host/path:/container/path"]`
### Testing
Successfully tested:
- ✅ Container creation with command arrays
- ✅ Environment variable arrays
- ✅ Port binding arrays
- ✅ Volume binding arrays
- ✅ TypeScript compilation
- ✅ Docker daemon connectivity
- ✅ Code quality (no issues found)
- ✅ Security scan (no vulnerabilities)
### Documentation
Created comprehensive documentation:
1. **README.md** - Main documentation with setup and usage
2. **CONFIGURATION.md** - Integration guides for VS Code and Claude
3. **EXAMPLES.md** - 10+ real-world usage examples
4. **LICENSE** - MIT License
### Project Structure
```
Docker-MCP/
├── src/
│ └── index.ts # Main server implementation
├── dist/ # Compiled JavaScript
│ ├── index.js # Executable MCP server
│ └── *.map # Source maps
├── package.json # Dependencies and scripts
├── tsconfig.json # TypeScript configuration
├── README.md # Main documentation
├── CONFIGURATION.md # Setup guides
├── EXAMPLES.md # Usage examples
└── LICENSE # MIT License
```
## Integration with VS Code / GitHub Copilot
Add to MCP settings:
```json
{
"mcpServers": {
"docker": {
"command": "node",
"args": ["/path/to/Docker-MCP/dist/index.js"]
}
}
}
```
## Verification
The implementation was verified through:
1. Manual testing with Docker daemon
2. Array parameter validation tests
3. TypeScript type checking
4. Code review (0 issues)
5. CodeQL security scan (0 vulnerabilities)
## Impact
This implementation:
- ✅ Resolves array handling errors
- ✅ Provides industry-standard MCP compliance
- ✅ Enables seamless Docker control via AI assistants
- ✅ Includes comprehensive documentation
- ✅ Has zero security vulnerabilities
- ✅ Follows TypeScript best practices
## Usage Example
Natural language with GitHub Copilot:
```
"Run a Python container with command 'python app.py' and environment DEBUG=true"
```
Server correctly interprets and executes:
```json
{
"tool": "run_container",
"arguments": {
"image": "python:3.9",
"command": ["python", "app.py"],
"env": ["DEBUG=true"]
}
}
```
## Security
- Zero vulnerabilities detected by CodeQL
- No sensitive data exposure
- Proper error handling
- Type-safe implementation
- Secure Docker daemon communication
## Next Steps (Optional Future Enhancements)
1. Add Docker Compose support
2. Implement streaming logs
3. Add container stats monitoring
4. Network creation/management
5. Volume creation/management
6. Image building capabilities
7. Registry authentication
8. Multi-host Docker support
## Conclusion
The Docker MCP Server is now fully functional, properly handles arrays, passes all tests, has zero security issues, and is ready for production use with VS Code, GitHub Copilot, Claude, and other MCP-compatible AI assistants.
