Initiate new projects with structured organization, Git-trackable data, and comprehensive documentation to enhance collaboration and task management in your development workflow.
Analyze codebase changes to infer task completion status, tracking progress through file modifications and implementation evidence. Configure directory depth, file types, and confidence thresholds for accurate task updates.
Retrieve detailed subtask information, including parent task relationships, progress status, and implementation specifics, for precise work planning and scope assessment. Use an absolute working directory path and unique subtask ID as inputs.
Start a debug session to receive logs from instrumented code via a local HTTP server. Configure the port to monitor and analyze code execution in real-time.
A Model Context Protocol server providing AI assistants with comprehensive project, task, and subtask management capabilities with project-specific storage.
An MCP (Model Context Protocol) server that enables interactive debugging with code instrumentation for AI coding assistants. Inspired by Cursor's debug mode.
Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.