How do I set my Zephyr Scale API token?
Create a `.env` file in the project root and add `ZEPHYR_API_TOKEN=your_api_token_here`.
@nandishnagaraj
基本信息
MCP Server for Zephyr Scale Integration
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"zephyr": {
"command": "python",
"args": [
"zephyr/zephyr.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server for integrating with Zephyr Scale. It allows developers to fetch test cases programmatically using an MCP‑compatible client (e.g., VS Code).
Clone the repository, install dependencies, then configure VS Code MCP settings with the command python and arguments ["zephyr/zephyr.py"]. Set your Zephyr Scale API token in a .env file. The server exposes the get_test_cases tool that accepts project_key, optional folder_id, and max_results.
Create a `.env` file in the project root and add `ZEPHYR_API_TOKEN=your_api_token_here`.
Add the following to your VS Code MCP settings JSON: `{"mcpServers": {"zephyr": {"command": "python", "args": ["zephyr/zephyr.py"]}}}`.
The server provides a single tool called `get_test_cases` for fetching test cases from Zephyr Scale.
It requires `project_key` (e.g., "SM"), optionally accepts `folder_id` (a folder ID to filter test cases), and `max_results` (maximum number of test cases, default 10).

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