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, progress percentage, current branch, and blockers.
Submit code changes, pull requests, and test results.
Mark a task as completed with a summary.
Check an agent's token budget (used, remaining, warnings).
Configure token budget, warning threshold, hard stop, and reset period.
List registered agents, filter by role or status.
Remove an agent from the registry.
Dashboard of all agents: tasks, progress, heartbeat, budget.
Get enriched context for a specific task.
Explore available tools and actions at runtime.
