Multi-Server MCP Architecture: Routing, Isolation, and Control
An architecture guide for coordinating multiple MCP servers without creating tool collisions, permission sprawl, or shared failure domains.
6 articles — updated daily

An architecture guide for coordinating multiple MCP servers without creating tool collisions, permission sprawl, or shared failure domains.

Learn how multi-agent systems separate local context from shared workflow state, exchange artifacts, synchronize updates, persist checkpoints, and avoid state conflicts.

Learn seven practical multi-agent coordination patterns and how they manage roles, ownership, state, handoffs, aggregation, conflicts, and stopping.

Compare centralized, decentralized, and hybrid multi-agent architectures across control, state, coordination, scale, observability, governance, and resilience.

Understand modern AI-agent architecture from goals and instructions through reasoning, tools, observations, state updates, guardrails, and stopping.

Learn how agent graphs and state machines make nodes, edges, branches, loops, checkpoints, transitions, retries, and terminal outcomes explicit.