How to Use the Learn Amp MCP in Cursor

Q: Can Cursor Agent write scripts to update Learn Amp users?

Yes, the agent uses the updateuser tool to modify live records while writing your script. This lets you build and test your user synchronization logic simultaneously.

Q: Does this MCP Server support bulk updates in Cursor?

While the server uses createuser for individual profiles, Cursor can loop these calls to handle small batches. For larger imports, your agent can write a script utilizing these endpoints.

Generate code that interacts with Learn Amp user and learning data directly inside Cursor.

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Connect Learn Amp MCP to Cursor

Create your Vinkius account to connect Learn Amp to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Learn Amp with Cursor

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Feed real Learn Amp data into Cursor Agent

The `list_users` tool pulls live employee records directly into your Cursor editing session. Your agent uses this actual data to write and test integrations, avoiding stale mock files. When building custom dashboards, the `get_user` tool pulls specific profile fields. Cursor reads these payloads to write accurate TypeScript interfaces on the fly.

Write learning integrations using Cursor and MCP

The `list_learnlists` tool exposes your entire curriculum structure to the Cursor editor. This lets your agent write functions that filter or sort training tracks based on actual live IDs. Using `get_learnlist` and `list_items` ensures your code handles nested course structures correctly. You get working code written against your live production setup, not an outdated API doc.

Test user operations inside Cursor

The `create_user` tool lets you verify your signup hooks directly from the Cursor terminal. Your agent triggers the tool to insert a test profile and verifies the response instantly. If a test user needs removal, `deactivate_user` cleans up the record without leaving your editor. This keeps your test environment tidy while you iterate on your codebase.

Setup guide

Set up Learn Amp MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Learn Amp MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Learn Amp transactions." If the MCP tools are loaded correctly, Cursor will call the Learn Amp tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "learn-amp-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Learn Amp MCP in Cursor

Add the server details to your .cursor/mcp.json file in your project root. Once saved, Cursor Agent mode will immediately gain access to all ten learning tools.

Yes, the agent uses the update_user tool to modify live records while writing your script. This lets you build and test your user synchronization logic simultaneously.

While the server uses create_user for individual profiles, Cursor can loop these calls to handle small batches. For larger imports, your agent can write a script utilizing these endpoints.

Open the Cursor chat panel and look at the active tools list. You will see the entire suite, including complete_item and list_verbs, ready for action.

Your employee profiles and training records are isolated within Vinkius's secure MCP sandbox. Cursor never exposes your raw credentials to the LLM, keeping your data secure during local development.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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