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How DoorDash Built a Centralized Gateway for AI Agent-Tool Access
DoorDash built a centralized gateway to manage identity, authorization, and rate limiting for over 200 AI agent tools.
What: The new Agent Gateway handles governance for AI agents by centralizing access to Model Context Protocol (MCP) servers, moving these functions out of individual agents into a shared security layer.
Why it matters: This represents an enterprise shift toward treating AI tools as first-class, governed infrastructure components rather than disparate plugins within agentic loops.
Decoder
- Model Context Protocol (MCP): An open standard for connecting AI assistants to systems, data sources, and tools.
Original article
DoorDash built a centralized Agent Gateway that gives AI agents governed access to MCP tools, handling identity, authorization, credentials, filtering, observability, and rate limits. It now supports 200+ MCP servers and millions of weekly calls while improving security, reliability, and control.
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