Agent Registry is a centralized catalog that lets you store, discover, and govern Model Context Protocol (MCP) servers, tools, and AI agents within Google Cloud. Agent Registry represents the governance pillar and unified inventory of your agents, servers, and endpoints in Gemini Enterprise Agent Platform.
As you deploy and expand AI capabilities, Agent Registry provides the core infrastructure for your environment, bringing together autonomous agents with the consistent data contexts and tools that MCP servers offer. By consolidating these agents, MCP servers, and endpoints, Agent Registry addresses common challenges in complex AI deployments, such as fragmented tool access, isolated data, and redundant implementations.
Based on the data model that the Agent Registry API
uses, you query the read-only Agent, McpServer, or Endpoint resources to
list, search for, and retrieve agents, MCP servers, and endpoints registered in
Agent Registry.
Why use Agent Registry?
Agent Registry is structured around three primary goals to help you manage your agents, MCP servers, and endpoints:
- Accelerate development: Discover and reuse existing agent skills and MCP tools across your organization. You can query the registry to identify and use available capabilities, removing the need to create custom integrations for each new process.
- Simplify integration: Use standardized MCP or Agent2Agent (A2A) protocols to locate and connect to functional endpoints, and help reduce infrastructure management overhead.
- Support governance: Enforce security and implement boundaries across your agentic fleet. Define permissions and establish a unified identity registry to control which agents can access your data.
What's next
- Learn about the Agent Registry data model to understand how to manage your agentic capabilities.
- Review key concepts to familiarize yourself with the essential terms used in Agent Registry.
- To get started, set up Agent Registry.