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securityF
license-
qualityA Model Context Protocol server utilizing Claude AI for generating intelligent queries and offering documentation assistance based on API documentation analysis.
Last updated -
3
2
TypeScript
Used for property-based testing to ensure URI template validation, parameter extraction correctness, error handling robustness, and type safety enforcement
Provides type-safe parameter handling for the resource template system, enabling validation and extraction of parameters from URIs
Supports the testing infrastructure, allowing for property-based and integration tests to validate the functionality of the documentation management system
DevDocs MCP Implementation
A Model Context Protocol (MCP) implementation for documentation management and integration.
Project Structure
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:
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:
Implementation Progress
Completed
- Basic project structure
- Resource template system
- Property-based testing infrastructure
- URI validation and parameter extraction
- 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
- Follow TDD approach:
- Write property-based tests first
- Implement minimal passing code
- Refactor for clarity and efficiency
- Error Handling:
- Use structured error types
- Implement recovery strategies
- Maintain system stability
- 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
- Create feature branch
- Add property tests
- Implement feature
- Update documentation
- Submit pull request
Next Steps
- Implement documentation processor integration
- Add caching layer with proper lifecycle management
- Develop task management system
- 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/
This server cannot be installed
A Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.
- Project Structure
- Core Components
- Implementation Progress
- Development Guidelines
- Branch Management
- Contributing
- Next Steps
- Support Resources
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