How to Use the Zephyr Scale (SmartBear) MCP in OpenAI Agents SDK

Q: How do I list all available test plans with Zephyr Scale (SmartBear) and OpenAI Agents SDK?

You call the listtestplans tool. It returns a comprehensive list of every plan in your project, helping you scope out what needs testing.

Q: Can my agent check statuses using Zephyr Scale (SmartBear) and OpenAI Agents SDK?

Yep. Use liststatuses to see every custom test execution status defined in your project before building any logic around it.

Manage test artifacts in Jira using your OpenAI Agents SDK. Get structured results every time.

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Connect Zephyr Scale (SmartBear) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zephyr Scale (SmartBear) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Check project environments

You can list all the defined testing environments, like Staging or Production, with `list_environments`. This lets your agent know exactly where to run tests. It also lists available test plans using `list_test_plans`. Your agent gets a clear map of what projects have planned out.

Get full details for specific artifacts

Need the deep dive on one piece of data? Call `get_test_case` to pull every detail about a single test case. You can also use `get_test_cycle` if you need all the info attached to a whole release cycle. These functions give your agent full context, not just status flags.

Retrieve all test cases by Jira key

If you have a Jira project key (say, 'PROJ'), the `list_test_cases` tool pulls back every relevant test case. It gives you keys, names, and their current status. This is paginated, so your agent can loop through all results until it gets everything it needs.

Setup guide

Set up Zephyr Scale (SmartBear) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zephyr Scale (SmartBear) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zephyr Scale (SmartBear) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zephyr Scale (SmartBear) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Zephyr Scale (SmartBear) Agent",
            instructions="You have access to Zephyr Scale (SmartBear) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Zephyr Scale (SmartBear) MCP in OpenAI Agents SDK

You call the `list_test_plans` tool. It returns a comprehensive list of every plan in your project, helping you scope out what needs testing.

The system manages test cases, test cycles, and executions. You'll get full details for all of these when calling the relevant retrieval tools.

Yep. Use `list_statuses` to see every custom test execution status defined in your project before building any logic around it.

Your OpenAI Agents SDK auto-discovers the available tools. You just call them like regular functions, and the guardrails validate everything before execution.

This server touches test case details, including keys, names, and their current statuses. It's all about the core testing definition.

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