MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
MCP server for universal multi-agent communication, enabling agents to register, send/receive messages, manage tasks, and coordinate via role-based routing with project isolation.
An MCP server that provides agent-powered tools, each using an LLM agent loop to iteratively call FlowMCP schema tools to solve complex problems. It can be mounted as Express middleware and supports A2A protocol for agent-to-agent communication.
MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.