This article was originally published on Medium.
Read on Medium →The Model Context Protocol solved the N×M integration problem for AI agents — but it says nothing about who's allowed to call which tool, where credentials live, or how to chain multi-step workflows safely. Those are orchestration questions, and they've quietly become the hardest part of shipping agents in production.
This article breaks down the MCP Orchestrator layer with a reference architecture, a nine-step walkthrough of a single tool call, a market survey grouped into four camps (purpose-built platforms, enterprise integration, API gateway veterans, open/dev-first), and a five-question framework for choosing one. Includes clean diagrams you can reuse in your own architecture docs.
Key takeaways
- The N×M problem MCP solves — and the governance gap it leaves behind
- Six capabilities every serious orchestrator needs (gateway, identity, registry, policy, observability, cache)
- Nine hidden steps in a single tool call, from auth to audit
- Market landscape: TrueFoundry, SnapLogic, MintMCP, Kong, Azure API Management, Docker MCP Gateway, n8n, and more
- Five questions that separate a production-ready platform from a nice demo
Have questions about MCP orchestration for your own stack? Reach out — I'm happy to talk through the architecture.