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Manage project docs, save chat logs, and sync artifacts to GitHub.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Playbook Server" yet — see the docs or source repo.
Create a product specification in the current project directory for "team knowledge base search", including goals, user stories, scope, non-functional requirements, acceptance criteria, and milestones.
A well-structured spec file is created in the project directory for team review and implementation.
Create an ADR for "choosing PostgreSQL as the primary database", covering context, alternatives, rationale, consequences, and follow-up actions.
A standardized ADR document is generated to track the key technical decision.
Organize the prompts and conversation logs in the current project, sync them to the GitHub repository, and generate an update note summarizing new and changed items.
Prompts and logs are synced successfully, with a reviewable changelog-style update summary.
Manage project analysis, code metrics, Git, docs, and files with natural language.
Use AI to understand codebases, key files, and project flows quickly.
Store, search, and summarize codebase notes during coding sessions.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Read GitBook content and drive a change-request based writing workflow.
Manage project documents across the full software lifecycle with 32 guided prompts.