Can I check the specific test steps for a case through the agent?

Yes. The `get_test_case` tool allows your AI agent to retrieve the full script for any test key, providing the exact sequence of steps, test data, and expected results defined in Zephyr Scale.

How do I see the progress of a specific test cycle via chat?

Use the `get_test_cycle` tool. Provide the unique cycle key, and your agent will return the cycle status, planned dates, and high-level execution statistics to help you monitor testing progress.

Is it possible to see the results of individual test runs?

Absolutely. Using the `get_execution_details` tool, your agent can retrieve step-by-step results for any execution, including comments and execution time, helping you identify exactly where a test failed.

Zephyr Scale (SmartBear) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Zephyr Scale (SmartBear)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zephyr Scale (SmartBear) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Zephyr Scale (SmartBear) Assistant",
            instructions=(
                "You help users interact with Zephyr Scale (SmartBear). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Zephyr Scale (SmartBear)"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Zephyr Scale (SmartBear) MCP Server

Connect your Zephyr Scale (SmartBear) account to any AI agent and manage your enterprise quality assurance infrastructure through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Zephyr Scale (SmartBear) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zephyr Scale (SmartBear), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Test Case Discovery — List and browse all test cases within a Jira project and retrieve specific keys (e.g., PROJ-T1) for deep inspection
Cycle Monitoring — Browse test cycles to see how test runs are grouped for specific releases, sprints, or regression cycles
Execution Tracking — Monitor real-time test execution results (Pass, Fail, Blocked) and retrieve step-by-step progress details
Test Planning — List high-level test plans to understand your overall testing strategy and project scope
Folder Navigation — Explore the organizational hierarchy of your test cases, cycles, and plans to find specific work items
Environment Audit — List configured test environments (Staging, Production) and custom statuses available for your project
Step-by-Step Insights — Retrieve full objective, preconditions, and detailed test scripts for any individual test case

The Zephyr Scale (SmartBear) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Zephyr Scale (SmartBear) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Zephyr Scale (SmartBear) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Zephyr Scale (SmartBear)

Why Use OpenAI Agents SDK with the Zephyr Scale (SmartBear) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Zephyr Scale (SmartBear) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Zephyr Scale (SmartBear) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Zephyr Scale (SmartBear) MCP Server delivers measurable value.

Automated workflows: build agents that query Zephyr Scale (SmartBear), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Zephyr Scale (SmartBear), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Zephyr Scale (SmartBear) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Zephyr Scale (SmartBear) to resolve tickets, look up records, and update statuses without human intervention

Zephyr Scale (SmartBear) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Zephyr Scale (SmartBear) to OpenAI Agents SDK via MCP:

get_execution

Retrieves full details of a Zephyr Scale test execution

get_test_case

Retrieves full details of a Zephyr Scale test case

get_test_cycle

Retrieves full details of a Zephyr Scale test cycle

list_environments

g. Staging, Production). Lists all test environments in a Zephyr Scale project

list_executions

Lists all test executions in a Zephyr Scale project

list_folders

Folder type must be TEST_CASE, TEST_CYCLE, or TEST_PLAN. Lists all folders for a specific type within a project

list_statuses

Lists all custom test execution statuses in a project

list_test_cases

Provide a Jira project key (e.g. "PROJ"). Returns test case keys, names, and statuses. Paginated. Lists all test cases in a Zephyr Scale project

list_test_cycles

Test cycles group test runs for a release or sprint. Lists all test cycles in a Zephyr Scale project

list_test_plans

Lists all test plans in a Zephyr Scale project

Example Prompts for Zephyr Scale (SmartBear) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zephyr Scale (SmartBear) immediately.

"List all test cases in project 'PROJ'."

"What are the details for test cycle 'PROJ-R42'?"

"Show me the results for execution ID '12345678'."

Troubleshooting Zephyr Scale (SmartBear) MCP Server with OpenAI Agents SDK

Common issues when connecting Zephyr Scale (SmartBear) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Zephyr Scale (SmartBear) + OpenAI Agents SDK FAQ

Common questions about integrating Zephyr Scale (SmartBear) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.