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 CrewAI 10 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Zephyr Scale (SmartBear) through Vinkius, pass the Edge URL in the `mcps` parameter and every Zephyr Scale (SmartBear) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Zephyr Scale (SmartBear) Specialist",
    goal="Help users interact with Zephyr Scale (SmartBear) effectively",
    backstory=(
        "You are an expert at leveraging Zephyr Scale (SmartBear) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Zephyr Scale (SmartBear) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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.

When paired with CrewAI, Zephyr Scale (SmartBear) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Zephyr Scale (SmartBear) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Zephyr Scale (SmartBear) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Zephyr Scale (SmartBear)

Why Use CrewAI with the Zephyr Scale (SmartBear) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Zephyr Scale (SmartBear) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Zephyr Scale (SmartBear) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Zephyr Scale (SmartBear) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Zephyr Scale (SmartBear), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Zephyr Scale (SmartBear) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Zephyr Scale (SmartBear) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Zephyr Scale (SmartBear) MCP Tools for CrewAI (10)

These 10 tools become available when you connect Zephyr Scale (SmartBear) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Zephyr Scale (SmartBear) + CrewAI FAQ

Common questions about integrating Zephyr Scale (SmartBear) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.