---
slug: "devdocs"
source_type: "readme"
source_url: "https://cdn.jsdelivr.net/gh/llmian-space/devdocs-mcp@main/README.md"
repo: "https://github.com/llmian-space/devdocs-mcp"
source_file: "README.md"
branch: "main"
---
# 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/`