Europe 2026
One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca
Sonny Merla , Mauro Luchetti , Mattia Redaelli , Quantyca
Overview
This talk addresses the chaos arising from multiple teams building AI agents independently, leading to duplicated efforts in security, infrastructure, and deployment. Amplifon's "Amplify" program established a unified approach through an enterprise-grade registry system for MCP (Machine Communication Protocol) and A2A (Agent-to-Agent) agents. This system aims to standardize development, ensure governance, and provide traceability for AI solutions across the organization.
Who should watch
- AI Engineers and developers facing challenges in managing multiple AI agents and integrations.
- Product Managers and technical leaders seeking to scale AI adoption responsibly within an enterprise.
- Teams struggling with maintenance, governance, compliance, and enterprise-wide scaling of AI applications.
- Organizations looking to centralize AI development guidelines and reusable infrastructure.
Key takeaways
- Amplifon launched the "Amplify" program to govern AI adoption, focusing on governance, platform, and factory aspects.
- An AI Gateway provides unified access, security, budgeting, and auditing for all LLM model usage.
- Three core registries were developed: an MCP registry for tools and integrations, an A2A registry for agents using agent card standards, and a Use Case registry to link agents and tools to specific business applications.
- The MCP registry extends the community catalog with internal servers and curated public servers, enriched with enterprise metadata like ownership, environment, authentication, cost attribution, and use case linkage.
- The A2A registry leverages agent cards for self-documenting agent discovery and interaction, with agents automatically publishing their cards via CI/CD integration.
- The Use Case registry maps agents and tools to specific business use cases, detailing assets, AI models, deployment locations, and impacted systems for governance and lineage tracking.
- Production-ready blueprint repositories for MCP and A2A agents provide boilerplate code, infrastructure, and tooling, including authentication and cost tracking, to streamline development.
- CI/CD pipelines automate the publishing of Docker images and registry metadata (agent cards, server.json) upon code tagging.
Notable quotes
*What happens when you have dozen of teams across three continents all building AI agents, each one wiring up their own connections, reinventing their own security model, deploying their own infrastructures? You get chaos.*
*We want to make easy the life of developers to focus on the business logic inside the use cases, avoiding to reinvent the wheel every time we need to take care about the security, but also the deployment and maintenance of the use cases.*
Unofficial community note. Prefer the recording for nuance.