LinkedIn Learning

7 actions available for LinkedIn Learning through StackOne. Use via Actions RPC, Toolset SDK, MCP, or A2A.

LinkedIn Learning

7 actions · 1 auth method

PreviewLMS

Authentication

OAuth 2.0

Guides: Connector Profile, Link Account

Actions

7 actions

Action

Description

Get Asset

linkedinlearning_get_asset

Retrieve a specific learning asset by URN

List Assets By Criteria

linkedinlearning_list_assets_by_criteria

Retrieve learning assets using criteria-based filtering

List Assets By Locale And Type

linkedinlearning_list_assets_by_locale_and_type

Retrieve learning assets by source locale and asset type

Get Classification

linkedinlearning_get_classification

Retrieve a specific learning classification by URN

Search Classifications By Keyword

linkedinlearning_search_classifications_by_keyword

Search learning classifications by keyword

List Classifications By Locale And Type

linkedinlearning_list_classifications_by_locale_and_type

Retrieve learning classifications by source locale and type

Get Activity Report

linkedinlearning_get_activity_report

Retrieve learning activity report with aggregation criteria

Getting Started

1. Create or Select a Project

   Set up a new project or select an existing one. See Organizations & Projects.

2. Configure the Connector

   Enable the connector and set up a connector profile in your project. See Managing Connectors.

   

   Connector Profile

   LinkedIn Learning - OAuth 2.0

3. Link an Account

   Connect an account using StackOne Hub or Auth Link.

   

   Link Account

   LinkedIn Learning - OAuth 2.0

4. Use Actions

   Invoke actions using one of the methods below:

   • MCP – Model Context Protocol for AI assistants
   • A2A – Agent-to-Agent protocol
   • Agent SDK – TypeScript and Python SDKs for AI agents
   • Actions RPC – Direct API calls
   • Playground – Test actions in the dashboard