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Keynote: Operating MCPs at Enterprise Scale: Uber's Journey - Meghana Somasundara, Agentic AI Lead & Rush Tehrani, Head of Engineering, Agentic AI Platform, Uber Technologies, Inc.#

Meghana Somasundara, Agentic AI Lead, Uber Technologies, Inc.; Rush Tehrani, Head of Engineering, Agentic AI Platform, Uber Technologies, Inc.

Play the recording: Keynote: Operating MCPs at Enterprise Scale: Uber's Journey - Meghana Somasundara, Agentic AI Lead  Rush Tehrani, Head of Engineering, Agent

  • Why: The core problem of agent-to-microservice access at scale — how do you expose thousands of internal services to agents without hand-writing thousands of MCP servers or losing safety.
  • What: Uber's unified MCP infrastructure with three pillars: Protobuf-driven generation of MCP servers from existing microservice definitions; "derived tools" that let developers override and refine tool descriptions per workflow because static definitions aren't enough; and a quality-evaluation loop feeding their no-code Agent Builder (from abstract only).
  • How: Auto-generate MCP servers from existing service Protobufs so agents get safe, instant access to the microservice estate; layer developer-controlled tool-description overrides; evaluate tool quality systematically.
  • Where applicable: The generate-don't-hand-write pattern and the eval methodology transfer to any large microservice organization with interface definitions; the specific Protobuf/Agent Builder stack is Uber's.