Zephyr Scale (SmartBear) MCP Server
Manage test cases, cycles, and executions on Zephyr Scale — the high-performance test management tool for Jira.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* 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)
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


















Zephyr Scale (SmartBear) MCP Server capabilities
10 toolsRetrieves 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
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
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.
More in this category
You might also like
Connect Zephyr Scale (SmartBear) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Zephyr Scale (SmartBear) MCP Server
Production-grade Zephyr Scale (SmartBear) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






