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Endigest AI Core Summary
Pinterest describes how they built a production MCP (Model Context Protocol) ecosystem to enable AI agents to safely automate engineering tasks.
•Multiple domain-specific MCP servers (Presto, Spark, Knowledge) were deployed instead of a monolith, each with its own access controls to avoid crowding the model's context
•A central internal MCP registry serves as the source of truth for approved servers, offering a web UI for discovery and an API for AI clients to validate and connect
•A unified deployment pipeline was created so teams only define tools while the platform handles deployment and scaling
•Security uses two auth layers: JWT-based end-user auth with business-group-based access gating, and SPIFFE-based mesh identity for service-only low-risk flows
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MCP tools are integrated into internal LLM chat interfaces, IDE plugins, and chat bots used daily by Pinterest engineers
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Pinterest
Google Cloud
Databricks
Stripe