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2025-04-07

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QA Sphere MCP Server

A Model Context Protocol server for the QA Sphere test management system.

This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow.

Prerequisites

  • Node.js (recent LTS versions)
  • QA Sphere account with API access
  • API key from QA Sphere (Settings ⚙️ → API Keys → Add API Key)
  • Your company's QA Sphere URL (e.g., example.eu2.qasphere.com)

Setup Instructions

This server is compatible with any MCP client. Configuration instructions for popular clients are provided below.

Claude Desktop

  1. Navigate to ClaudeSettingsDeveloperEdit Config
  2. Open claude_desktop_config.json
  3. Add the QA Sphere configuration to the mcpServers dictionary

Cursor

  1. Go to Settings...Cursor settingsAdd new global MCP server
  2. Add the QA Sphere configuration

5ire

  1. Open 'Tools' and press 'New'
  2. Complete the form with:
    • Tool key: qasphere
    • Command: npx -y qasphere-mcp
    • Environment variables (see below)

Configuration Template

For any MCP client, use the following configuration format:

{
  "mcpServers": {
    "qasphere": {
      "command": "npx",
      "args": [
        "-y", "qasphere-mcp"
      ],
      "env": {
        "QASPHERE_TENANT_URL": "your-company.region.qasphere.com",
        "QASPHERE_API_KEY": "your-api-key"
      }
    }
  }
}

Replace the placeholder values with your actual QA Sphere URL and API key.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or need assistance, please file an issue on the GitHub repository.

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    Reviews

    5 (1)
    Avatar
    user_sLdgVoPI
    2025-04-18

    I have been using qasphere-mcp by Hypersequent and it has significantly streamlined my QA processes. The tool is intuitive and highly efficient, which makes my workflow smoother and more productive. The repository on GitHub is well-documented and easy to navigate, making the setup quick and hassle-free. Highly recommended for anyone looking to enhance their QA capabilities!