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One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca
Takeaway
An AI gateway plus MCP/A2A/use-case registries gives a large enterprise the governance, cost-attribution and lineage it needs to actually scale agentic AI safely.
Summary
- Amplifon (hearing care, 26 countries, 10K stores) built the Amplify program for AI at scale: control tower for guidelines + committee for country execution.
- Architecture: AI gateway (unified model endpoint, Entra ID auth, per-use-case budgets, central audit) + three registries — MCP servers, A2A agents (using agent-card standard), and use cases.
- Private MCP registry extends the public community registry with enterprise metadata: ownership, environment, auth model, cost attribution, and use-case linkage for impact analysis and auditability.
- Goal: developers focus on business logic while governance, security, and lineage are centralized; reusable building blocks across 20K-person org.
mcpenterprisegovernance
Original description
As internal MCP servers and A2A agents explode in number, discovery and governance become critical challenges for production-grade AI systems. We'll demonstrate how we built an enterprise infrastructure to index MCP servers and A2A agents, and link them to relevant use cases. We'll show how moving from a fragmented environment to a searchable, metadata-rich registry transformed a chaotic development cycle into a standardized, scalable deployment process. In this talk, we'll cover: - How we developed an internal private company MCP registry based on the open source specification - How we defined an A2A registry based on agent cards - How we achieved agent runtime discovery using an MCP server that exposes company A2A agents - How we linked A2A agent and MCP server template repositories to DevOps processes Mauro Luchetti - AI CoE Manager, Quantyca I work as an AI Engineer and CoE Manager at Quantyca, where I focus on artificial intelligence solutions, data engineering, and cloud architectures, drawing on nearly 8 years of professional experience in the field. Over the years I've had the opportunity to work on projects involving generative AI, machine learning, data governance and data management, trying to combine hands-on technical skills with a broader strategic perspective. I enjoy sharing what I've learned with the teams I work with, contributing to collective growth in modern AI engineering practices. Socials: https://www.quantyca.it/ Slides: https://quantyca-my.sharepoint.com/:b:/g/personal/mauro_luchetti_quantyca_it/IQBUCcMBzsAfSZtJXrCdaqV0AaUyDhifxP360fqCUupyaGc?e=S6ytoA