DevDocs MCP
by llmian-space
# DevDocs MCP Implementation
A Model Context Protocol (MCP) implementation for documentation management and integration.
## Project Structure
```
src/
├── resources/
│ ├── templates/ # Resource template system
│ └── managers/ # Resource management
├── documentation/
│ ├── processors/ # Documentation processing
│ └── integrators/ # Integration handlers
├── tasks/
│ ├── issues/ # Issue tracking
│ └── reviews/ # Review management
└── tests/
├── property/ # Property-based tests
└── integration/ # Integration tests
```
## Core Components
### Resource Template System
The resource template system provides URI-based access to documentation resources with:
- Type-safe parameter handling through Pydantic
- Flexible URI template matching
- Comprehensive error handling
- State management for resource lifecycle
Example usage:
```python
from src.resources.templates.base import ResourceTemplate
# Create a template with parameter typing
template = ResourceTemplate(
uri_template='docs://api/{version}/endpoint',
parameter_types={'version': str}
)
# Extract and validate parameters
params = template.extract_parameters('docs://api/v1/endpoint')
template.validate_parameters(params)
```
### Testing Strategy
The project uses property-based testing with Hypothesis to ensure:
- URI template validation
- Parameter extraction correctness
- Error handling robustness
- Type safety enforcement
Run tests:
```bash
pytest tests/property/test_templates.py
```
## Implementation Progress
### Completed
- [x] Basic project structure
- [x] Resource template system
- [x] Property-based testing infrastructure
- [x] URI validation and parameter extraction
- [x] Error handling foundation
### In Progress
- [ ] Documentation processor integration
- [ ] Caching layer implementation
- [ ] Task management system
- [ ] Performance optimization
### Planned
- [ ] Search implementation
- [ ] Branch mapping system
- [ ] State tracking
- [ ] Monitoring system
## Development Guidelines
1. Follow TDD approach:
- Write property-based tests first
- Implement minimal passing code
- Refactor for clarity and efficiency
2. Error Handling:
- Use structured error types
- Implement recovery strategies
- Maintain system stability
3. Documentation:
- Keep README updated
- Document new features
- Include usage examples
## Branch Management
The project uses a branch-based development approach for:
- Feature tracking
- Documentation integration
- Task management
- Progress monitoring
## Contributing
1. Create feature branch
2. Add property tests
3. Implement feature
4. Update documentation
5. Submit pull request
## Next Steps
1. Implement documentation processor integration
2. Add caching layer with proper lifecycle management
3. Develop task management system
4. Create monitoring and performance metrics
## Support Resources
- MCP Concepts: `mcp-docs/docs/concepts/`
- Python SDK: `python-sdk/src/mcp/`
- Example Servers: `python-sdk/examples/servers/`