Main idea
- Rather than having an AI agent connect to each tool separately, it connects to a single gateway.
- This gateway serves as a unified interface to all MCP-compliant services and manages the orchestration behind the scenes.
- An AI agent can just connect to the gateway and access any tool it needs (without worrying about the details of each integration)
- What can it do?
- Routing - Directs requests to the appropriate MCP service based on the task
- Security - Centralizes authentication, authorization, and context isolation
- Decision-making - Optionally decides which tool to invoke depending on the request
- Multi-tenancy - Manages multiple users or agents while ensuring data and context remain isolated
- Policy enforcement - Applies rate limits, logging, and auditing at a central point
- Context management - Maintains consistent, persistent context across tool calls
- Real world examples
- Zapier MCP - Allows AI assistants to connect to 1000s of applications via a single endpoint
- Gateway between AI agents and thousands of SaaS tools
- But for now it’s unidirectional (fire and forget)
MCP Gateway VS API Gateway
- The function, audience, and responsibilities are meaningfully different.
| API gateway | MCP gateway |
|---|
| Audience | Human-driven client apps or backend services | AI agents |
| Context awareness | Routes based on path or headers | Routes based on semantic intent, task structure, or even agent memory (often requiring deeper contextual understanding) |
| State & Orchestration | Usually stateless | May actively manage contextual state, cache tool responses, or participate in decision-making logic |
| Tool Chaining | Treats each request as isolated | May support multi-step workflows and context-aware tool chaining |
| Protocol alignment | x | Designed to work specifically with Model Context Protocol (MCP) |
Questions & Considerations
- Is an MCP Gateway necessary? Does the added infrastructure justify the benefits? Or is it over-engineering for most use cases?
- Where should orchestration live? Should AI agents manage their own tool logic? Or should this responsibility shift to external gateways?
- How flexible should it be? Should gateways be “dumb routers” or smart decision-makers with logic of their own?
- Will it standardize? Will the ecosystem converge on shared context formats, tool schemas, and gateway protocols?