An out-of-the-box multi-tenant MCP server that lets MCP clients access knowledge retrieval, task dispatch, deliverable management, and multi-agent consultation services via SSE or stdio.
A local MCP server that provides shared, real-time context across multiple AI agents via WebSocket and MCP resource notifications, enabling collaborative workspaces, memory, tasks, and messaging.
An MCP server that enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing for sending messages, tracking tasks, and receiving streaming responses.