How to Use the Userback MCP in Cursor

Q: What data does Userback touch regarding user accounts?

The server handles user identity lists when running listaccountusers. This allows your agent to generate working code based on real account data, not placeholder stubs.

Q: Can I retrieve project information in Cursor using Userback?

Yes. Calling getprojectdetails or listuserbackprojects allows the AI to use live project scope data when writing code that interacts with your application backend.

Q: Does the MCP Server support listing Userback submissions in Cursor?

It does. When you call listfeedbacks, the returned array of feedback entries lets the AI write robust loops and data parsing logic directly into your source code.

Get live Userback API context directly into your code using Cursor.

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Connect Userback MCP to Cursor

Create your Vinkius account to connect Userback 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 Userback with Cursor

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Injecting project context with `get_project_details`

You can call `get_project_details` and feed the resulting structured data right into a function you're writing. The AI will generate working code that uses this real API response, not mock data. If your project scope is confusing, listing projects with `list_userback_projects` helps the AI write accurate boundary checks in your code.

Handling feedback reports via `get_feedback_details`

`get_feedback_details` fetches a specific bug report's data. You can then use this real context to build validation logic into your application. It’s much better than hardcoding assumptions. To make sure you capture all possible issues, start by calling `list_feedbacks` first; that gives the AI an array of potential inputs.

Checking user lists with `list_account_users`

`list_account_users` provides a reliable list of account users. The AI uses this data to write clean code that iterates over valid user IDs, preventing runtime errors. This is critical for writing secure endpoints. You can combine the results with `create_feedback_entry` to ensure only authorized accounts submit reports.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "userback-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 Userback. 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 Userback MCP in Cursor

You enable Agent mode and configure the MCP Server either via a project-scoped or global `.cursor/mcp.json` file. The AI then calls the necessary Userback tools as you write code.

The server handles user identity lists when running `list_account_users`. This allows your agent to generate working code based on real account data, not placeholder stubs.

Yes. Calling `get_project_details` or `list_userback_projects` allows the AI to use live project scope data when writing code that interacts with your application backend.

It does. When you call `list_feedbacks`, the returned array of feedback entries lets the AI write robust loops and data parsing logic directly into your source code.

This server handles metadata about users and product usage. Specific data types include user IDs (`list_account_users`) and individual bug report details (from `get_feedback_details`).

Use it with your favorite AI tools

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

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