· ai-devtools
Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools
The platform supports more than 800 MCP servers and 5,000 tools, providing a common layer for discovery, protocol translation, authorization, and execution.
Uber engineers describe this approach as a microservice architecture that exposes existing APIs as MCP tools without requiring changes to the underlying services. The architecture separates the MCP Registry, which acts as the control plane, from the Proxy Gateway, which handles runtime execution. The registry maintains tool definitions, schemas, ownership, and enablement settings, while the proxy translates MCP requests into HTTP, gRPC, or TChannel calls and converts responses back into MCP-compatible results.
Uber MCP Gateway with APIs as tools (Source: Uber Blog Post) The architecture has drawn comparisons with established API gateway patterns. Ajay Sharma, Principal Software Engineer at Microsoft CoreAI, wrote in a LinkedIn post, Azure API Gateways has been doing this for a while now. It's a recipe for order to the chaos that LLMs come with. Kelly Goetsch, President at Pipe17, similarly observed in a LinkedIn post that Uber's new MCP gateway looks identical to gateways we've built over the decades for APIs and later GraphQL.
