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How to Use the eduMe MCP in Cursor

Connect Cursor to eduMe and let your AI write code against real mobile training data and user profiles.

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Cursor

Connect eduMe MCP to Cursor

Create your Vinkius account to connect eduMe 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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Build integrations using real eduMe MCP Server data

Writing custom dashboards is faster when Cursor has actual data. Enable Agent mode and it can call `list_training_courses` to pull your real catalog directly into the editor context. The AI writes frontend components using the exact schema returned by the API. If you need to drill down into specific modules, Cursor runs `get_course_details`. Instead of guessing what the payload looks like or writing mock data, you get working TypeScript interfaces generated from live training configurations.

Code against live trainee records

Building user synchronization logic requires accurate data structures. Cursor uses `list_trained_users` to fetch active accounts from your platform. It sees the exact fields your instance uses, preventing type errors before you even compile. When you need to handle specific edge cases, the AI can trigger `get_user_training_profile`. This pulls a complete history for a single user, letting Cursor write accurate parsing logic for completion statuses and drop-off points.

Automate team reporting workflows

You can build automated compliance reports without reading API docs. Ask Cursor to use `quick_team_training_audit` to grab high-level summaries of team activity. The agent figures out the endpoint structure and drafts the necessary fetch calls. To map out your organizational hierarchy in code, Cursor runs `list_training_teams`. It pulls your actual user groups, allowing the AI to generate accurate routing or filtering logic based on how your company is actually structured.

Setup guide

Set up eduMe MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the eduMe 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. 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. 4

    Verify the connection

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

.cursor/mcp.json
{
  "mcpServers": {
    "edume-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by eduMe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about eduMe MCP in Cursor

Create an mcp.json file in your project root or global .cursor directory. Add the server details under mcpServers and enable Agent mode in the chat panel.
Yes. The editor pulls live payloads using tools like list_latest_training_content and uses those exact responses to generate realistic unit tests. You skip the tedious mock-creation phase entirely.
No. The current tools are strictly for reading data, like checking engagement via list_top_performing_courses. You have to write the code to handle any POST or PUT requests yourself.
You need to ask it explicitly. Tell the agent to run get_edume_account_metadata so it can read your current tier limits and factor them into any rate-limiting logic it writes.
Cursor requests specific user IDs and external identifiers to test your integration logic. The MCP connection is secured via Vinkius using an ephemeral execution environment, ensuring your raw API tokens and employee data never leak into persistent storage.

Start using the eduMe MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for eduMe. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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