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Get Started

  • Get Started with AI/ML in JFrog

JFROG PLUGINS

  • JFrog Plugins
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  • Claude Code
  • VS Code

AI Catalog

  • JFrog AI Catalog Overview
  • JFrog AI Catalog Architecture
  • Detect Shadow AI
  • AI/ML Overview Dashboard
  • Viewing Curation Policy Status for AI Catalog Models

MODELS IN AI CATALOG

  • Get Started
  • Discover and Allow Models
  • Upload Custom Models
  • Use Models in Your Code
  • Connect AI Providers
  • Deploy Models
    • Deploy Hugging Face Model Packages
      • Automatic Undeployment
    • Deploy Custom Models
  • Inference Metrics
  • Troubleshooting

MCP REGISTRY

  • Overview
  • Get Started
  • Install an MCP Server
  • Manage MCP Servers
    • Configure and Enable Pre-built (Public) MCP Servers
    • Custom MCP Servers
  • Configure Tool Policies
  • Use the MCP Registry with Agent Guard
    • Example Workflows (MCPs via Agents)
  • Troubleshooting MCP Registry
  • Security and Validation

JFROG ML

  • About JFrog ML
    • JFrog ML Overview
    • JFrog ML Architecture
    • Control and Data Planes
  • Set Up JFrog ML
  • JFrog ML Quickstart
  • Model Version Management
  • Build Models
    • Model Build Overview
      • Model Builds SDK
      • Managing Dependencies
      • FrogML Model Anatomy
      • The FrogML Model Class
    • Training Models
    • Testing Models
    • Loading Pre-built Models
    • Model Registry and Metadata
    • Advanced Build Concepts
  • Serve Models (Deployment)
    • Real-Time Deployments
      • Calling Model Endpoints
      • Deployment Strategies
      • Performance and Runtime Configuration
      • Local Deployment
    • Prediction Input & Output Adapters
    • Batch Deployments
      • Storage-based Execution
      • DataFrame Execution
      • Batch Execution Management
    • Streaming Deployments
    • Inference Analytics
  • Model Monitors
    • Runtime Metrics
    • Prediction Timers
    • Performance Monitors
  • Automations
    • Define Automations
      • Automate Build and Deploy
      • Automate Batch Execution
      • Manage Automations
    • Automation Tutorials
  • Configure JFrog ML
    • JFrog ML Alerts
    • Instance Sizes & ML Credits
    • Secret Management
    • Accessing AWS Resources with IAM Role
  • Experiment Tracking
  • Feature Store
    • Feature Store Overview
    • Feature Store Quick Start Guide
    • Data Sources
    • Feature Sets
      • Batch Feature Sets
      • Streaming Feature Sets
    • Feature Consumption
    • Feature Set Alerts
    • Use Cases
    • Cross-environment Online Serving Replication
  • FrogML Client
  • JFrog ML Troubleshooting
  • Install the JFrog Bridge (Self-Managed)
  • Role-based Access Control (RBAC) in JFrog ML
  • Qwak Documentation
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  1. JFROG PLUGINS

JFrog Plugins

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Note:

JFrog CLI (jf) is recommended when working with the JFrog Platform.

Install JFROG CLI

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Claude Code
VSCode

Related Topics:

Using the MCP Registry with Agent Guard

Updated 3 days ago


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