A Model Context Protocol server that connects AI CLI tools to multiple models for multi-model orchestration, conversation continuity, and collaborative workflows like code reviews and planning.
A Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.
A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.
A demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.
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.
A Model Context Protocol (MCP) server that can be deployed locally via stdio or remotely via SSE/HTTP endpoints, supporting multiple MCP clients including VS Code, Cursor, Windsurf, and Claude Desktop.