An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository.
There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code
MCP server that connects AI coding agents to Greenroom's per-story Storybook reviews, allowing them to list feedback with screenshots, reply to threads, mark stories addressed, and approve stories when explicitly delegated.
Enables AI agents to manage local project files and Git operations through MCP tools, including file CRUD, search, Git status, recent commits, and project summaries.
Enables AI assistants to create and manage development projects with structured backlogs, including tasks, requirements, and progress tracking. Provides a bridge between AI development assistants and project management workflows through standardized MCP tools.
Enables spec-driven development workflows with AI assistants, providing tools for managing specification lifecycles, task dependencies, code navigation, testing, and automated reviews through a unified CLI and MCP interface.
