Enables multiple AI agents to coordinate work on the same codebase by providing real-time file locking, commit approval, and agent awareness through a lightweight WebSocket-based MCP server.
Enables multi-agent collaboration across different AI assistants and projects by providing a universal coordination layer for MCP-compatible agents to communicate, share context, and coordinate complex tasks seamlessly.
Enables multi-agent communication workflows with consensus arbitration, peer messaging, and operator-mediated collaboration through authenticated MCP tools.
MCP server for multi-agent collaboration enabling AI agents to communicate, delegate tasks, and share artifacts across clients and machines with federation support.