Python
MIT
mcp-github-project-manager
by kunwarVivek
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- FlicenseNot gradedqualityCmaintenanceEnables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.-
- FlicenseNot gradedqualityDmaintenanceA production-ready server featuring over 28 tools for comprehensive GitHub analysis, including repository metadata, issue tracking, and workflow monitoring. It enables users to search repositories, analyze contributor activity, and inspect codebase health through natural language.1-
- AlicenseNot gradedqualityNot gradedmaintenanceEnables comprehensive GitHub project management with 20 tools for issue tracking, milestone management, label organization, AI-powered task complexity analysis, and PRD generation with roadmap planning capabilities.2-
Version Pill MCPofficial
FlicenseNot gradedqualityCmaintenanceAI-native project management server for coding agents, offering 60 tools for tasks, releases, epics, cycles, docs, and ideas with caching and agent memory.-- AlicenseNot gradedqualityDmaintenanceEnables users to interact with GitHub's Projects v2 API through natural language for Agile project management, supporting repository details, issue tracking, and project board management operations.35GPL 2.0
TDQS
C2.7/5.0
Scored across 84 tools
Disambiguation3/5
The tool set covers distinct GitHub project management operations, but there is significant overlap in AI-powered analysis tools (e.g., analyze_task_complexity, enrich_issue, expand_task, generate_prd, parse_prd) that could confuse an agent about which to use for similar tasks. Core CRUD operations are clearer, but the AI tools blur boundaries.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (e.g., create_issue, update_project, list_sprints), with clear action-object naming. Minor deviations exist (e.g., get_next_task vs. plan_sprint), but overall naming is predictable and readable across the set.
Tool Count2/5
With 84 tools, the count is excessive for a GitHub project manager server, leading to bloat and potential confusion. Many tools could be consolidated (e.g., multiple AI analysis tools, separate CRUD for similar entities), making the surface unwieldy and overwhelming for agents.
Completeness5/5
The tool set provides comprehensive coverage for GitHub project management, including full CRUD for projects, issues, PRs, sprints, milestones, and fields, plus advanced features like automation rules, AI-powered analysis, and traceability matrices. No obvious gaps exist for the domain.
Maintenance
ActivityActive
ResponsivenessUnresponsive