Zephyr Scale (SmartBear) Connector for AI agents.
10 live capabilities
Manage Jira test cases and QA cycles through a chat interface.
Waiting for input…
Why people use Zephyr Scale (SmartBear)
Stop Manual Jira Navigation with Zephyr Scale (SmartBear) QA Tracking
This Connector changes that by letting you just ask your agent for the status. You get a real-time summary of your test cycles and execution results in a single chat window, letting you focus on fixing bugs rather than hunting for data.
What Vinkius changes
You get a chat-based command center for your Jira test management.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed test
A QA Engineer needs to know why a specific test failed.
- Real-world use case 02
Verifying release readiness
A Release Manager wants to know if a regression cycle is done.
- Real-world use case 03
Reproducing a bug
A Developer is trying to reproduce a bug.
Complete set · 10capabilities
The complete Zephyr Scale (SmartBear) capability set.
These are the exact actions your AI can choose when you ask it to work with Zephyr Scale (SmartBear).
01—04
4 capabilities in this set.
Part of 10 available through Zephyr Scale (SmartBear).
- 01 Capability
List test cases
Lists all test cases in a Jira project by key. It is your primary capability for finding specific work items in your backlog.
- 02 Capability
List test cycles
Lists all test cycles in a project. Use this to see how test runs are grouped for different releases or sprints.
- 03 Capability
Get test cycle
Gets all the details for a specific test cycle. It helps you quickly check the status and scope of a specific run.
- 04 Capability
List executions
Shows all test executions in your project. This gives you a bird's eye view of all ongoing work and results.
05—07
3 capabilities in this set.
Part of 10 available through Zephyr Scale (SmartBear).
- 05 Capability
Get execution
Pulls the full details of a specific Zephyr Scale test execution. It is useful for seeing exactly which step caused a failure.
- 06 Capability
List test plans
Lists all test plans in your project. This helps you understand the overall testing strategy and project scope.
- 07 Capability
List folders
Shows the folder hierarchy for test cases, cycles, or plans. This makes navigating your project organization much faster.
08—10
3 capabilities in this set.
Part of 10 available through Zephyr Scale (SmartBear).
- 08 Capability
List statuses
Lists all custom test execution statuses in a project. Use this to see the specific statuses your team uses for reporting.
- 09 Capability
List environments
Lists all configured test environments in a project. This lets you quickly see which environments like Staging are active.
- 10 Capability
Get test case
Retrieves the full details of a specific test case. This is the fastest way to see preconditions and scripts in one place.
Set up in minutes
One URL. Then ask Zephyr Scale (SmartBear) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Zephyr Scale (SmartBear) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Zephyr Scale (SmartBear), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Zephyr Scale (SmartBear) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Zephyr Scale (SmartBear) URL.
- Step 03
Save and start
Save the connection and enable Zephyr Scale (SmartBear) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zephyr-scale-smartbear": {
"url": "https://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Zephyr Scale (SmartBear)
Open Agent mode in chat and ask: "Using Zephyr Scale (SmartBear), help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zephyr-scale-smartbear": {
"url": "https://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Zephyr Scale (SmartBear)
Ask Copilot: "Using Zephyr Scale (SmartBear), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zephyr-scale-smartbear": {
"url": "https://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Zephyr Scale (SmartBear)
Open Cascade and ask: "Using Zephyr Scale (SmartBear), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zephyr-scale-smartbear": {
"url": "https://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Zephyr Scale (SmartBear)
Ask Cline: "Using Zephyr Scale (SmartBear), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zephyr-scale-smartbear --transport http "https://edge.vinkius.com/vk_preview_Otgy8LaqzVGUEkWgebMQXIB54FzWeyFrkRQYbJXw/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Zephyr Scale (SmartBear)
Ask Claude: "Using Zephyr Scale (SmartBear), show me...". 10 tools are ready
Where the request belongs
Work Zephyr Scale (SmartBear) can move forward.
This is for QA Engineers and Test Managers who are tired of clicking through endless Jira menus to find simple information. It helps them get a clear view of testing progress without the manual overhead.
QA Engineer
They use this on a Tuesday afternoon to quickly pull up the exact steps of a failed test to see what went wrong.
Test Manager
They use this to check the overall status of multiple test cycles at once to ensure the release is on track.
Release Manager
They use this to verify that the regression cycle is complete before they sign off on a production deployment.
Developer
They use this to look up test preconditions and scripts so they can reproduce bugs faster without asking for help.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Qase
Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.
TestMonitor
List QA projects, extract test runs, read user assignments, and fetch tracked issues strictly from your AI chat.
TestRail
Browse TestRail suites, parse manual test specs, and monitor active runs seamlessly native within your conversational AI workflow.
Katalon TestOps (AI Test Management)
Manage test orchestration via Katalon TestOps. rerun test runs, monitor execution results, and audit software releases.
Bring your own AI
Change the model, client or framework. Keep Zephyr Scale (SmartBear) connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
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Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
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LangChain -
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CrewAI -
Vercel AI SDK
Before you connect
Questions about Zephyr Scale (SmartBear).
The practical details behind the request, access and result.
Can I use Zephyr Scale (SmartBear) MCP to see my test results?
Yes, you can use it to see the pass, fail, and blocked status of your test executions. It pulls this data directly into your chat so you don't have to open Jira.
Does Zephyr Scale (SmartBear) MCP work with my Jira project?
It works with any project where you have Zephyr Scale configured. You just provide your project key to the agent to start browsing your test cases.
Can I check test scripts using Zephyr Scale (SmartBear) MCP?
Yes, you can ask your agent to retrieve the full details of any test case. It will pull the objective, preconditions, and detailed scripts for you.
Is Zephyr Scale (SmartBear) MCP good for release management?
It's great for checking the status of test cycles and plans. You can quickly see if a release is ready by asking the agent to summarize the progress of your cycles.
How does Zephyr Scale (SmartBear) MCP help with debugging?
It helps developers find the exact steps of a failed test execution. Your agent can pull up the specific failure details so you can see what went wrong quickly.
Can I see what environments are set up with Zephyr Scale (SmartBear) MCP?
Yes, you can list all configured environments like Staging or Production. This helps you verify where your tests are actually running.
Can I check the specific test steps for a case through the agent?
Yes. The get_test_case capability 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 capability. 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 capability, your agent can retrieve step-by-step results for any execution, including comments and execution time, helping you identify exactly where a test failed.
One connection away
Give your agent a direct line to Zephyr Scale (SmartBear).
Connect Zephyr Scale (SmartBear) once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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