Four Specialized MCP Servers Coordinate Autonomously to Complete a Coding Task

A developer observed an AI agent named Hermes orchestrate a real coding workflow last weekend by chaining four separate Model Context Protocol (MCP) servers rather than relying on a single monolithic function. Hermes reviewed an evidence-based book-writing system, identified engineering issues, and delegated a coding task to another agent by routing through dedicated servers handling communication, resource management, coordination, and project registry. A resource admission server approved the workload after Hermes declared an estimated 2.2 GB memory requirement, after which the Codex coding agent was launched under a time-limited capacity lease. The completed task logged 18 passing tests, lint checks, and an independent code review, with the full history preserved in durable state records for later inspection. The developer noted the workflow's value lay in each server handling only its defined role, preventing any single component from silently expanding into an unintended general-purpose controller.