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TalentLMS MCP Server
for AI Agents

Connect your AI agent to StackOne's TalentLMS MCP server and give it 36 MCP tools out of the box. Auth, tool execution, and security all managed.

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TalentLMS MCP Server
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36 Agent Actions

Create, read, update, and delete across TalentLMS — and extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your TalentLMS MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every TalentLMS 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 TalentLMS call.

Tools Discovery →

What is the TalentLMS MCP Server?

A TalentLMS MCP server lets AI agents read and write TalentLMS data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's TalentLMS MCP server ships with 36 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 TalentLMS MCP Tools

Every action from TalentLMS's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Users

  • Create User

    Sign up a new user in TalentLMS

  • List Users

    Retrieve a list of all users

  • Get User

    Retrieve a specific user by their numeric ID

  • Delete User

    Delete a user from TalentLMS

Courses

  • Create Course

    Create a new course in TalentLMS

  • List Courses

    Retrieve a list of all courses

  • Get Course

    Retrieve a specific course by ID

  • Delete Course

    Delete a course from TalentLMS

Groups

  • Create Group

    Create a new group in TalentLMS

  • List Groups

    Retrieve a list of all groups

  • Get Group

    Retrieve a specific group by ID

  • Delete Group

    Delete a group from TalentLMS

Branchs

  • Get Branch

    Retrieve a specific branch by ID

  • Delete Branch

    Delete a branch from TalentLMS

Other (22)

  • Add User To Group

    Add a user to a group using the group key (not group ID)

  • Add Course To Group

    Add a course to a group

  • Add User To Branch

    Add a user to a branch

  • Add Course To Branch

    Add a course to a branch

  • Get User By Email

    Retrieve a specific user by email address

  • Get User By Username

    Retrieve a specific user by username

  • Get Custom Registration Fields

    Retrieve the custom registration fields defined for users

  • Get User Status In Course

    Retrieve the status and progress of a user in a course

  • Get Custom Course Fields

    Retrieve the custom course fields defined for courses

  • List Categories

    Retrieve a list of all categories

  • Get Category

    Retrieve a specific category and its direct courses

  • Get Category Leafs And Courses

    Retrieve subcategories and their courses for a parent category

  • List Branches

    Retrieve a list of all branches

  • Get Site Info

    Retrieve general details about the TalentLMS domain

  • Get Rate Limit

    Retrieve the current rate limit status

  • Set User Status

    Change the status of a user to active or inactive

  • Set Branch Status

    Change the status of a branch to active or inactive

  • Remove User From Group

    Remove a user from a group

  • Edit User

    Edit an existing user in TalentLMS

  • Enroll User To Course

    Enroll a user directly in a specific course

  • Unenroll User From Course

    Remove a user's enrollment from a course

  • Reset User Progress

    Reset the progress of a user in a course (destructive)

Set Up Your TalentLMS MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to TalentLMS in under 10 lines of code.

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

Agent Frameworks

Claude Desktop
{
  "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>"
      ]
    }
  }
}

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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

TalentLMS MCP Server FAQ

Does StackOne have a TalentLMS MCP server?
Yes. StackOne offers a hosted TalentLMS MCP server with 36 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
TalentLMS MCP server vs direct API integration — what's the difference?
A TalentLMS MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling TalentLMS. A TalentLMS MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling TalentLMS at runtime. StackOne provides both.
How does TalentLMS authentication work for AI agents?
TalentLMS authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own TalentLMS account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are TalentLMS MCP tools vulnerable to prompt injection?
Yes — TalentLMS MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a TalentLMS agent and how do I avoid it?
Context bloat happens when TalentLMS tool schemas and API responses eat your TalentLMS agent's memory, preventing it from reasoning effectively. A single TalentLMS query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my TalentLMS agent can access?
Yes — you can limit which actions your TalentLMS agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my TalentLMS MCP server?
Yes — you can create custom agent actions for your TalentLMS MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research TalentLMS's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a TalentLMS MCP server?
Skip a TalentLMS MCP server if your integration is purely software-to-software — direct TalentLMS API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call TalentLMS actions at runtime.
What AI frameworks and AI clients does the StackOne TalentLMS MCP server support?
The StackOne TalentLMS MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

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.

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