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Manage project analysis, code metrics, Git, docs, and files with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Project Management Server" yet — see the docs or source repo.
Analyze the current project’s code size, complexity, commit activity, and risks, then suggest priorities.
A project health report with key metrics and improvement suggestions.
Check the current branch status, summarize recent commits, and generate a clear pre-merge checklist.
Branch status, commit summary, and a merge checklist.
Organize the documentation structure, group related files, and flag missing or duplicate docs.
An organized docs structure and file categorization suggestions.
Use AI to understand codebases, key files, and project flows quickly.
Analyze project structure, read files, and understand codebases with context.
Store, search, and summarize codebase notes during coding sessions.
Connect GitHub repos so AI can analyze and build from real code.
Inspect and edit local projects securely with files, Git, and commands.
Manage Git tasks, agent templates, and project utilities more efficiently.