LinkedIn Learning MCP Server
for AI Agents
Connect your AI agent to StackOne's LinkedIn Learning MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
7 Agent Actions
Create, read, update, and delete across LinkedIn Learning — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your LinkedIn Learning MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every LinkedIn Learning tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every LinkedIn Learning call.
Tools Discovery →What is the LinkedIn Learning MCP Server?
A LinkedIn Learning MCP server lets AI agents read and write LinkedIn Learning data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's LinkedIn Learning MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All LinkedIn Learning MCP Tools
Every action from LinkedIn Learning's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Assets
- Get Asset
Retrieve a specific learning asset by URN
Assets By Criterias
- List Assets By Criteria
Retrieve learning assets using criteria-based filtering
Assets By Locale And Types
- List Assets By Locale And Type
Retrieve learning assets by source locale and asset type
Classifications
- Get Classification
Retrieve a specific learning classification by URN
Classifications By Keywords
- Search Classifications By Keyword
Search learning classifications by keyword
Classifications By Locale And Types
- List Classifications By Locale And Type
Retrieve learning classifications by source locale and type
Activity Reports
- Get Activity Report
Retrieve learning activity report with aggregation criteria
LinkedIn Learning AI Agent Use Cases
Connect your AI agent to LinkedIn Learning and help your team scale the HR operations they run by hand today.
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
ViewUse StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
ViewUse StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewSet Up Your LinkedIn Learning MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to LinkedIn Learning in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Check More Learning / LMS MCP Servers
122+ actions
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Platform Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
LinkedIn Learning MCP Server FAQ
Does StackOne have a LinkedIn Learning MCP server?
LinkedIn Learning MCP server vs direct API integration — what's the difference?
How does LinkedIn Learning authentication work for AI agents?
origin_owner_id.Are LinkedIn Learning MCP tools vulnerable to prompt injection?
What is the context bloat of a LinkedIn Learning agent and how do I avoid it?
Can I limit which actions my LinkedIn Learning agent can access?
Can I create custom agent actions for my LinkedIn Learning MCP server?
When should I NOT use a LinkedIn Learning MCP server?
What AI frameworks and AI clients does the StackOne LinkedIn Learning MCP server support?
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.