A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.
An MCP server that enables inter-Claude communication and context sharing for seamless collaboration and conversation forking between multiple AI instances. It uses a smart pointer architecture to efficiently share project data and conversation history without interrupting ongoing tasks.
A shared context and coordination layer for multiple AI agents over MCP, featuring semantic memory, dependency-aware task DAGs, auto-scheduling, role-based access, real-time push, and a live dashboard.
An intelligent MCP server that orchestrates multiple MCP servers with AI-enhanced workflow automation and production-ready context engine capabilities for codebase analysis.