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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.
Manage project documents across the full software lifecycle with 32 guided prompts.
An MCP server for persistent memory, knowledge bases, and project summaries.
Manage project backlogs in Git Markdown files through AI-driven task creation and updates.
Give AI persistent project memory to resume tasks and context seamlessly.
Manage project tasks, milestones, decisions, and team messaging via MCP.