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Zephyr Scale (SmartBear)

Zephyr Scale (SmartBear) MCP Server

Built by Vinkius GDPR ToolsFree for Subscribers

Manage test cases, cycles, and executions on Zephyr Scale — the high-performance test management tool for Jira.

Vinkius supports streamable HTTP and SSE.

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Zephyr Scale (SmartBear)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

What is the Zephyr Scale (SmartBear) MCP Server?

The Zephyr Scale (SmartBear) MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Zephyr Scale (SmartBear) via 10 tools. Manage test cases, cycles, and executions on Zephyr Scale — the high-performance test management tool for Jira. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

get_executionget_test_caseget_test_cyclelist_environmentslist_executionslist_folderslist_statuseslist_test_caseslist_test_cycleslist_test_plans

Tools for your AI Agents to operate Zephyr Scale (SmartBear)

Ask your AI agent "List all test cases in project 'PROJ'." and get the answer without opening a single dashboard. With 10 tools connected to real Zephyr Scale (SmartBear) data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Zephyr Scale (SmartBear) MCP Server capabilities

10 tools
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

What the Zephyr Scale (SmartBear) MCP Server unlocks

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

1. Subscribe to this server
2. Enter your Zephyr Scale API Token
3. 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

Frequently asked questions about the Zephyr Scale (SmartBear) MCP Server

01

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.

02

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.

03

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.

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