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

Run autonomous test teams using CrewAI to manage Zephyr Scale (SmartBear) projects.

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Connect Zephyr Scale (SmartBear) MCP to CrewAI

Create your Vinkius account to connect Zephyr Scale (SmartBear) to CrewAI 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 CrewAI

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Manage Test Cases with Role-Based Agents

The `list_test_cases` tool lets an agent pull all test cases from a project key. You can assign one agent the role of 'QA Analyst' who uses this tool to gather scope, and another agent the role of 'Reporter' who then compiles that data into a final report. The collaboration is key.

Coordinate Test Plans Across Teams

Use `list_test_plans` so your crew can organize their work. One specialized agent gathers the list of plans, and another takes over to check specific test cycle details using `get_test_cycle`. The system works like a team: one researches, the other acts.

Assess Execution Status with MCP Server

The `list_executions` tool allows your crew to see all past test runs. You can set up an autonomous monitor agent that constantly checks these executions for failures. This moves beyond simple querying; the agents are designed to react to what they find.

Setup guide

Set up Zephyr Scale (SmartBear) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Zephyr Scale (SmartBear) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Zephyr Scale (SmartBear) Analyst",
    goal="Access and analyze Zephyr Scale (SmartBear) data via MCP.",
    backstory="Expert analyst with direct Zephyr Scale (SmartBear) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Zephyr Scale (SmartBear) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Zephyr Scale (SmartBear) Analyst",
        goal="Access and analyze Zephyr Scale (SmartBear) data via MCP.",
        backstory="Expert analyst with direct Zephyr Scale (SmartBear) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Zephyr Scale (SmartBear) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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 CrewAI

CrewAI treats the MCP Server as a set of specialized tools. You assign different roles—like 'Test Manager' or 'Environment Checker'—and give them access to specific functions, like `list_environments`, so they can collaborate on project tasks.

Yes. You can build a multi-agent operation where one agent uses `get_test_case` to get details, and another agent immediately uses that data to call `list_folders` to see if related test cycles exist.

It's designed for it. You can build a dedicated 'Monitoring Agent' that uses `list_statuses` to watch for custom test execution statuses, escalating the issue if the status doesn't change within expected parameters.

The MCP Server gives access to several types of records: test cases, execution results, and folder structures. The agents manage the flow across these different domains.

Because it's a framework built around autonomous operations, it handles complex dependencies well. You don't write the sequential logic; you define the roles, and the crew does the work.

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