How to Use the Zephyr Scale (SmartBear) MCP in Cursor

Q: How do I get a list of all environments using Zephyr Scale (SmartBear) and Cursor?

Just call listenvironments. This tool pulls all defined test environments—Staging, Production, etc.—so you can use that output to write branching logic in your code.

Q: Can I check a specific test plan with Zephyr Scale (SmartBear) and Cursor?

Yes, use gettestplan details after listing them. The tool allows you to retrieve the full scope of any given test plan for context within your coding session.

Q: Does this MCP Server help with tracking status? Zephyr Scale (SmartBear) and Cursor?

Absolutely. You can use liststatuses to get all custom statuses defined in the project, letting you write code that checks for specific states beyond just 'Passed' or 'Failed'.

Write code that uses live data from Zephyr Scale (SmartBear) with Cursor.

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Connect Zephyr Scale (SmartBear) MCP to Cursor

Create your Vinkius account to connect Zephyr Scale (SmartBear) 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 Zephyr Scale (SmartBear) with Cursor

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Inject Live Test Status Data into Code via Cursor

You're writing a script, and you need to check if the tests passed? Call `get_execution` directly. The AI uses that live data—the full details of a test execution—and injects it right into the working code block. This means your generated code isn't using mock results; it’s reacting to real Zephyr Scale (SmartBear) API responses.

Manage Test Scope with Cursor and MCP Server

Need a list of all test cycles for a specific sprint? Use `list_test_cycles`. The AI reads that output—the cycle details—and lets you structure your code around those exact identifiers. It's perfect for writing automation wrappers, making sure your scripts target the right release group.

List and Filter Test Cases in Cursor

Writing a test runner means knowing what tests exist. Use `list_test_cases` to pull keys and names for an entire Jira project. The AI incorporates this list, letting you build code that iterates over every available test case. It even supports pagination if the project has hundreds of cases.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "zephyr-scale-smartbear-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 Zephyr Scale (SmartBear). 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 Zephyr Scale (SmartBear) MCP in Cursor

Just call `list_environments`. This tool pulls all defined test environments—Staging, Production, etc.—so you can use that output to write branching logic in your code.

This MCP Server touches test case details, environment lists, and execution metadata. It's all about structured project information used to write functional code.

Yes, use `get_test_plan` details after listing them. The tool allows you to retrieve the full scope of any given test plan for context within your coding session.

Absolutely. You can use `list_statuses` to get all custom statuses defined in the project, letting you write code that checks for specific states beyond just 'Passed' or 'Failed'.

The AI uses live API responses. When generating code, it incorporates real test case keys, cycle IDs, and environment names from your active Zephyr Scale instance.

Use it with your favorite AI tools

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

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