This GitHub Project Manager MCP server provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints through deep integration with GitHub Projects V2. Developed by an unnamed author, it offers features like automated kanban workflows, sprint planning, and custom field management. The TypeScript-based implementation uses the Octokit library for GitHub API interactions and includes robust test coverage. It's designed for development teams and project managers who want to incorporate AI assistance into their GitHub project workflows, enabling natural language queries and updates for project boards, issues, milestones, and sprints.
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Highlight AITransform project ideas into comprehensive Product Requirements Documents.
AI-powered parsing of PRDs into actionable development tasks.
Add new features with automatic impact analysis and task generation.
Detailed AI analysis of task complexity, effort estimation, and risk assessment.
AI-powered recommendations for optimal task prioritization.
Break down complex tasks into manageable subtasks automatically.
Improve existing PRDs with AI-powered gap analysis and improvements.
Convert generated tasks into real GitHub issues grouped into milestones and sprints with dependency-driven phase ordering.
Full traceability from PRD business requirements to features, use cases, and tasks.
Claim tasks with configurable selection strategies (priority, age, skills, deadline).
Report liveness and progress along with relevant task details.
Submit code changes, PRs, test results, and review artifacts.
Dashboard of all agents: tasks, progress, heartbeat, and budget.
Remove an agent from the registry.
Configure token budget, warning threshold, hard stop, and reset period.
Check an agent's token budget (used, remaining, warnings).
Capability-matched, budget-aware assignment.
Auto-approve/reject/decompose tasks in one call.
Explore available actions and schemas at runtime.
Register an AI agent with role, runtime, and capabilities.
Claim the next available task using a selection strategy.
Mark a task as completed with a summary.
Check the review/merge status of submitted work.
Get enriched context for a task.
Return a task to the pool (blocked, wrong skills, etc.).
