Overview
An intelligent automation system for development workflows using Model Context Protocol (MCP). Streamlines CI/CD, documentation, and deployment processes.
Technology Stack
MCP
GitHub Actions
Docker
Node.js
Python
Key Features
▸Automated task execution
▸CI/CD pipeline generation
▸Smart documentation generation
▸Code formatting and linting automation
▸Deployment automation with rollback
▸Custom workflow builder UI
▸Template marketplace integration
▸Performance benchmarking tools
Desktop Screenshots
Mobile Screenshots
Project Structure
Learning & Development
Key learning outcomes and technical insights gained from this project:
▸Model Context Protocol (MCP) implementation and best practices
▸CI/CD pipeline automation with AI-driven optimizations
▸Containerization strategies for AI development workflows
▸Infrastructure as Code for scalable AI deployments
▸Performance monitoring and alerting for production AI systems
Implementation Status
Coming soon...