Agent Registry

Detailed Introduction

Agent Registry is a centralized platform for AI infrastructure that enables trustworthy publishing, discovery, and deployment of MCP servers, agents and skills. It gives teams governance and access-control features, a curated catalog, and validation/scoring mechanisms to simplify packaging, sharing and deploying AI artifacts across environments. The project aims to streamline the lifecycle of agentic components and reduce friction for secure reuse.

Main Features

• Centralized registry: package, discover and curate MCP servers, agents and skills in one place.
• Governance and control: support policy, validation and scoring to improve artifact trustworthiness.
• Deployment and portability: CLI and Web UI for easy deployment and cross-environment access.
• Developer friendly: local development scripts, examples and quick-start guides for CI/CD integration.

Use Cases

• Teams that need a single source of truth for internal agents, skills and MCP services.
• Controlled environments requiring security review and quality scoring of third-party components.
• Rapidly publishing validated MCP servers and skills to production to power AI-driven applications.

Technical Features

• Built around the MCP (Model Context Protocol) ecosystem to integrate with MCP servers and Agent Gateway implementations.
• Offers arctl CLI, embedded Web UI and import/export tools; supports Docker Compose and cloud deployments.
• Open-source (MIT) with code and docs available for community contribution and extensions.