Zephyr integration through SmartBear MCP
With Zephyr integration, you can access Zephyr Cloud data directly within AI-powered development tools. This integration brings testing insights into your development workflow, reducing context switching and improving productivity.
Overview
The integration uses Model Context Protocol (MCP) to securely connect Zephyr with AI assistants and integrated development environments (IDEs). You can retrieve and interact with test-related information without leaving your development environment.
Key capabilities
Zephyr integration provides access to:
Test cases and test definitions.
Test execution results and statuses.
Test coverage and quality insights.
Test metadata and configuration details.
This information is available directly within tools such as GitHub Copilot, Cursor, Claude, and other MCP-compatible clients.
Common use cases
Test visibility during development
Access test cases and execution results while writing, reviewing, or debugging code.
Faster debugging
Use test outcomes together with monitoring and error data to identify and resolve issues more efficiently.
Improved collaboration
Development and QA teams can work with shared testing data in a unified workflow.
Context-aware automation
Use real-time testing data to improve AI-assisted workflows.
Benefits
Reduces context switching between tools.
Surfaces relevant testing data to improve productivity.
Enhances troubleshooting with real-time insights.
Supports seamless workflows across SmartBear products.
Requirements
To use Zephyr integration with SmartBear MCP Server, you need:
An active Zephyr Cloud instance.
An MCP-compatible client, such as GitHub Copilot or Claude.