
zephyr mcp server
MCP Server for Zephyr Scale Integration
Repository Info
About This Server
MCP Server for Zephyr Scale Integration
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Zephyr MCP Server
A Model Context Protocol (MCP) server for integrating with Zephyr Scale.
Setup Instructions
-
Clone this repository:
git clone https://github.com/nandishnagaraj/zephyr-mcp-server.git cd zephyr-mcp-server -
Install dependencies:
pip install -r requirements.txt -
Configure VS Code:
- Open your VS Code settings (JSON)
- Add the following to your MCP configuration:
{ "mcpServers": { "zephyr": { "command": "python", "args": ["zephyr/zephyr.py"] } } } -
Set your Zephyr Scale API token:
- Create a
.envfile in the project root - Add your API token:
ZEPHYR_API_TOKEN=your_api_token_here - Create a
Features
- Fetch test cases from Zephyr Scale
- Filter by project key and folder ID
- Limit number of results
Usage
The server provides the following tools:
get_test_cases: Fetch test cases from Zephyr Scale- Parameters:
project_key: Project key (e.g., "SM")folder_id: (Optional) Folder ID to filter test casesmax_results: Maximum number of test cases to return (default: 10)
- Parameters:
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
Quick Start
Clone the repository
git clone https://github.com/nandishnagaraj/zephyr-mcp-serverInstall dependencies
cd zephyr-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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