Bring Test Management
to CrewAI
Create your Vinkius account to connect Zephyr Scale (SmartBear) to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Zephyr Scale API Token
- Start managing your QA cycles through Claude, Cursor, or any MCP-compatible client
No more manual navigation through complex Jira plugins to find a test script. Your AI agent becomes your QA operations coordinator.
Who is this for?
- QA Engineers — monitor test execution results and audit test case scripts through simple chat commands
- Test Managers — quickly surface test cycle progress and verify test plan organization without manual filtering
- Release Managers — check the execution status of regression cycles before approving production deployments
- Developers — lookup test steps and preconditions for failed executions to rapidly debug software defects
Built-in capabilities (10)
Retrieves full details of a Zephyr Scale test execution
Retrieves full details of a Zephyr Scale test case
Retrieves full details of a Zephyr Scale test cycle
g. Staging, Production). Lists all test environments in a Zephyr Scale project
Lists all test executions in a Zephyr Scale project
Folder type must be TEST_CASE, TEST_CYCLE, or TEST_PLAN. Lists all folders for a specific type within a project
Lists all custom test execution statuses in a project
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
Test cycles group test runs for a release or sprint. Lists all test cycles in a Zephyr Scale project
Lists all test plans in a Zephyr Scale project
Why CrewAI?
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.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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) in CrewAI
Why run Zephyr Scale (SmartBear) with Vinkius?
The Zephyr Scale (SmartBear) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Zephyr Scale (SmartBear) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Zephyr Scale (SmartBear) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Zephyr Scale (SmartBear) to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Zephyr Scale (SmartBear) for CrewAI
Every request between CrewAI and Zephyr Scale (SmartBear) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
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.
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