Explore JFrog AI/ML
Find the right AI/ML docs for agents, catalogs, MCP, skills, and machine learning on the JFrog Platform.
This page is a map of the JFrog AI/ML documentation. Use it to jump to the section that matches what you need to do.
For the platform story—how JFrog extends your software supply chain to AI agents, models, and tools—start with JFrog AI Supply Chain. To connect coding agents and IDEs, see AI Tools and Integrations.
Secure Agent Workflows
Govern what coding agents can do in the IDE and enforce approved MCP usage.
- JFrog Plugins — Install JFrog in Claude Code, Cursor, VS Code, and related environments
- Use the MCP Registry with Agent Guard — Connect agents to approved MCP servers and tool policies
- Enforce Organization-Wide MCP Policies — Apply governed MCP usage across the organization
Discover and Govern AI Assets
Centralize models, APIs, and MCP servers, and reduce Shadow AI.
- JFrog AI Catalog Overview
- Detect Shadow AI
- AI Catalog Quick Start — Discover, allow, and use models in AI Catalog
- JFrog MCP Registry Overview
Skills and Agent Packages
Store, discover, and govern skills your agents use. Skills governance documentation is expanding in this section.
Accelerate with JFrog Boost
Build and Run Machine Learning Models
When you are ready to train, serve, monitor, or manage features for custom models, use the JFrog ML section of these docs.
- JFrog ML Overview — What JFrog ML covers
- Set Up JFrog ML — Configure the environment
- JFrog ML Quickstart — Build and deploy a first model
For build, deployment, monitors, and the feature store, open the JFROG ML section in the sidebar.
Related Topics
Updated about 2 hours ago