An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.
MCP server that integrates DevFlow with AI code assistants to enforce structured development workflows including planning, task tracking, and code review gates.
A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.
A planning and orchestration system for AI-driven software development that integrates as an MCP server, enabling developers to plan, prioritize, and execute complex projects with context-aware assistance.
An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.
An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.