How to Use the Cloud Assess MCP in Cursor

Q: How do I connect Cloud Assess to Cursor?

You define the server in your .cursor/mcp.json file. Once configured, enable Agent mode to start using the tools in your chat window.

Q: Can I use Cloud Assess with Cursor for enrolment tracking?

Certainly. You can call listtrainingenrolments to populate your local development environment with current data.

Q: Will Cursor allow Cloud Assess to fetch assessment forms?

It will. Use the listassessmentforms tool to pull existing checklists into your project for reference.

Inject real-time vocational data into your codebase using the Cloud Assess MCP Server within Cursor.

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Connect Cloud Assess MCP to Cursor

Create your Vinkius account to connect Cloud Assess 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 Cloud Assess with Cursor

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Automate reporting workflows in Cursor

Use `list_assessment_records` to feed live evidence data into your scripts. You can generate custom reports or analyze student performance trends while you write code. Cursor lets you iterate on these reports by calling tools directly from the IDE. You save time by not having to export and re-import CSV files for your development tasks.

Validate training logic in Cursor

Call `list_unit_enrolment_progress` to test your application logic against real enrolment data. You can verify how your code handles different student statuses without creating mock records. This ensures your code works with actual production data structures. The AI agent handles the tool calls so you can focus on building the features rather than wiring up API requests.

Integrate student data via Cursor

Fetch specific details using `get_student_details` to build custom views for your training dashboards. You can map these fields directly into your UI components as you develop them. This approach gives you immediate feedback during the build process. You see the data structure returned by the server and can adjust your code immediately.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloud Assess. 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 Cloud Assess MCP in Cursor

You define the server in your `.cursor/mcp.json` file. Once configured, enable Agent mode to start using the tools in your chat window.

Certainly. You can call `list_training_enrolments` to populate your local development environment with current data.

It will. Use the `list_assessment_forms` tool to pull existing checklists into your project for reference.

Your endpoint token is managed by Vinkius and injected securely during runtime. We do not persist sensitive keys in your local project files.

The server transmits your vocational data over an encrypted tunnel. The information is never cached locally and remains isolated from the rest of your development environment.

Use it with your favorite AI tools

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

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