Github Project Manager

# Changes for March 18, 2025 ## Improve GitHub MCP with npx support and yargs for environment parameters - 10:30 am - Added yargs package for command-line argument parsing - Added support for running the GitHub MCP using npx - Implemented parameter passing for environment configuration - Updated documentation with new usage instructions ## Added transport options documentation to README - 03:45 pm - Updated README to include details about available transport options (Stdio and SSE) - Added documentation for command line parameters to specify transport type and port - Included examples of using both transport methods with various configurations - Added programmatic usage examples for both transport types ## Updated MCP DocScribe documentation for @ai-sdk integration - 10:40 pm - Enhanced main documentation to specify MCP implementation using @ai-sdk - Added parameter structure for document type specification - Included additional parameters for improved context and documentation generation - Added new documentation types specific to MCP implementations - Updated existing documentation types with MCP-specific details ## Implemented MCP DocScribe package - 11:45 pm - Created new MCP implementation for automatic documentation generation - Implemented AI service for generating different documentation types - Added support for multiple AI providers (Anthropic, OpenAI) - Created MCP server with tools for documentation generation - Implemented file system management for generated documentation - Built CLI interface for both standalone and MCP server usage - Added support for both stdio and SSE transport methods ## Generated technical documentation for Model Context Protocols - 11:55 pm - Generated comprehensive technical documentation for the entire MCP project - Included architectural overview, components, and security considerations - Documented data flow between MCP servers, clients, and AI assistants - Added details on performance requirements and scalability - Identified potential risks and provided mitigation strategies - Outlined future enhancement possibilities for the MCP ecosystem ## Updated DocScribe with Vercel AI SDK integration - 09:15 pm - Replaced direct API calls with Vercel AI SDK for both Anthropic and OpenAI - Added support for modern models: Claude 3.5 Sonnet and GPT-4o - Implemented Claude's reasoning capabilities for improved documentation quality - Enhanced provider configuration with more flexible model selection - Streamlined token handling through environment variables - Added comprehensive documentation for the integration - Improved error handling and response processing ## Refactored DocScribe to use extensible prompt templates - 09:45 pm - Extracted all prompt templates into a dedicated templates module - Implemented template pattern with base abstract class and specialized implementations - Created factory class for template instantiation based on document type - Separated prompt template logic from AI service implementation - Added standardized system prompts for consistent AI tone and style - Implemented flexible interface allowing easy addition of new document types - Enhanced code maintainability and reduced duplication