A Model Context Protocol (MCP) server that turns multiple AI coding agents into a coordinated team that chats, debates, remembers, audits security, and works in parallel on the same project.
Enables users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.
Enables multiple AI models to collaborate under a shared goal, architecture, plan, loops, sandbox, and acceptance criteria via a local-first MCP server.
An MCP server that indexes your codebase and gives AI assistants persistent understanding of project structure, dependencies, and history across sessions, with a self-improving multi-agent system for continuous code quality enhancement.
An MCP server that enables Cursor to delegate complex, multi-step tasks to specialized subagents, including general-purpose and explore agents, with automatic discovery of existing Claude subagents.
Enables collaborative software development through a team of specialized AI agents (Architect, Developer, Reviewer, Tester) communicating via the Model Context Protocol, with tools for file management, task tracking, and code review.