How to Use the Innform MCP in Cursor

Q: How do I configure the Innform MCP Server in Cursor?

Create a .cursor/mcp.json file in your project root and add the server details under the mcpServers key. Once saved, enable Agent mode to run the MCP tools.

Q: Can Cursor write tests using live Innform data?

Yes, it can. Cursor uses tools like listresults to fetch actual payloads, allowing the AI to generate highly accurate test assertions based on real learner progress data.

Q: How do I verify which API key the server is using?

You can use the getme tool to fetch the details of the active authenticated user. This confirms that your Cursor session is connected to the correct LMS environment.

Build custom training dashboards in Cursor using live Innform LMS data.

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Connect Innform MCP to Cursor

Create your Vinkius account to connect Innform 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 Innform with Cursor

Ask AI about this MCP

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Claude

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Generate code in Cursor using live LMS schemas

The `list_courses` tool pulls the exact JSON structure of your active training catalog directly into your editor. This allows the AI agent to write accurate integration code without guessing the API payload formats. Instead of relying on outdated documentation, you get live data structures. The agent calls `list_modules` to write type definitions and UI components that perfectly match your actual LMS content.

Debug learner sync issues in real time

The `get_learner` tool retrieves specific user profiles to help you debug database sync scripts. You can run the tool directly from your Cursor chat to compare local database records with live Innform data. If a user reports a missing certification, use `list_results` to check their actual progress. The agent analyzes the raw response to find mismatches in completion dates or scores.

Map company architecture to your codebase

The `list_departments` tool exposes your organizational structure so you can build dynamic routing rules. It pairs with `list_locations` to let you write location-specific onboarding logic in your application. You can also call `list_pathways` to see how courses are grouped. Your editor reads these pathways to automate user enrollment based on their department or office location.

Setup guide

Set up Innform 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 Innform 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 Innform transactions." If the MCP tools are loaded correctly, Cursor will call the Innform tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Innform. 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.

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Common questions about Innform MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server details under the `mcpServers` key. Once saved, enable Agent mode to run the MCP tools.

Yes, it can. Cursor uses tools like `list_results` to fetch actual payloads, allowing the AI to generate highly accurate test assertions based on real learner progress data.

Yes, you can run the server locally or connect to a remote instance. It allows you to build and test your HR integrations without leaving your development environment.

You can use the `get_me` tool to fetch the details of the active authenticated user. This confirms that your Cursor session is connected to the correct LMS environment.

Yes, your learner profiles and course modules are processed within an isolated local or remote runtime. The API key is stored in your configuration file, ensuring your data never touches external training sets.

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