Scaling AI Beyond the Monolith: Multi-Agent Coordination via Federated MCP Servers

Model Context Protocol (MCP) is presented as a standard way to connect autonomous agents to distributed, specialized MCP servers.

A Supervisor Agent, JSON-RPC, and shared context let multiple agents be coordinated like microservices for better scale.

The approach adds service discovery, synchronized state management, and governance to handle enterprise-level complexity more safely.

It also fits naturally with infrastructure such as TypeScript, API gateways, service meshes, Kubernetes DNS, and Consul.