How OpenClaw Implements MCP for Multi-Agent Orchestration

How OpenClaw Implements MCP for Multi-Agent Orchestration When you search for MCP orchestration today, the top results are Google ADK and Dynatrace — both solid tools for their respective niches. But they tell only part of the story. Google ADK is purpose-built for Google Cloud environments. Dynatrace approaches MCP from an observability angle. Neither gives you a self-hosted, multi-channel, multi-agent orchestration framework that treats MCP servers as native first-class tools with zero glue code. That's what OpenClaw is. OpenClaw is an open-source AI agent framework built around the idea that Model Context Protocol tools should just work — inside any agent, across any channel (Telegram, Discord, WhatsApp, Slack), without custom integration code. This guide walks through exactly how OpenClaw implements multi-agent MCP: the architecture, the practical setup, and how it compares to the alternatives. What Is MCP (and Why It Matters for Multi-Agent Systems)? Model Context Protocol (MCP) i