QA Sphere

QA Sphere is an MCP server that connects Large Language Models to the QA Sphere test management platform. Designed for software quality assurance engineers, developers, and technical project managers, it allows AI-powered development environments to interface directly with QA test repositories. Users can search through existing test suites, query matching test cases using specific filters, and summarize test coverage across components without leaving their coding workflow. The server exposes test descriptions, preconditions, and execution steps to AI assistants in tools like Claude Desktop and Cursor. Developers can reference QA Sphere test cases while drafting implementation code or reviewing bug reports, ensuring that implementation aligns with QA specifications. Although this standalone repository is archived in favor of QA Sphere's hosted MCP integration, this package can still be run locally using Node.js to provide standard Model Context Protocol access to QA Sphere workspaces.

Category: Developer Tools & Code Intelligence

Tags: qa, qa-sphere, software-quality, testing, test-management

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How to install and configure QA Sphere

  1. Ensure Node.js version 22 or higher is installed on your system. 2. Obtain an API key from your QA Sphere account by navigating to Settings, selecting API Keys, and clicking Add API Key. 3. Identify your QA Sphere tenant URL, such as your-company.region.qasphere.com. 4. Open your MCP client configuration file (for example, claude_desktop_config.json in Claude Desktop or Cursor MCP settings). 5. Add the qasphere configuration to the mcpServers object: json { "mcpServers": { "qasphere": { "command": "npx", "args": ["-y", "qasphere-mcp"], "env": { "QASPHERE_TENANT_URL": "your-company.region.qasphere.com", "QASPHERE_API_KEY": "your-api-key" } } } } 6. Replace the placeholder tenant URL and API key with your actual QA Sphere credentials, then restart your MCP client.

What you can do with QA Sphere

  • Discover test cases across QA Sphere repositories by asking an AI assistant to search for specific keywords or metadata tags. - Generate quick summaries of existing test case requirements and test steps directly inside code editors during feature development. - Contextualize bug reports by asking your LLM to pull up and analyze related test cases from the QA Sphere workspace. - Review test suite coverage for specific components or user stories before starting new software implementation tasks.

Key facts

  • https://github.com/Hypersequent/qasphere-mcp
  • Developer Tools & Code Intelligence, Project & Task Management
  • qa, qa-sphere, software-quality, testing, test-management

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How do I install QA Sphere MCP?

You can run QA Sphere MCP using npx without a manual download. Add the server entry to your MCP client configuration file with the command npx, the argument -y qasphere-mcp, and your environment variables for QASPHERE_TENANT_URL and QASPHERE_API_KEY.

What can QA Sphere MCP do?

QA Sphere MCP allows language models to connect to the QA Sphere test management system. It enables your AI assistant to search and list test cases matching queries or filters, summarize test coverage, and retrieve detailed test case context during software development.

Which MCP clients work with QA Sphere MCP?

QA Sphere MCP works with any Model Context Protocol compliant client. Tested applications include Claude Desktop, Cursor, and 5ire. Setup requires adding the npx command configuration and environment variables into the client configuration file or settings interface.

Is QA Sphere MCP open source?

Yes, the QA Sphere MCP repository is open source and licensed under the MIT License. The code is available on GitHub under Hypersequent/qasphere-mcp.

Is the QA Sphere MCP server actively maintained?

The standalone GitHub repository is archived because QA Sphere now serves a hosted MCP server directly through its platform. Users can enable the hosted version under QA Sphere Settings or continue running the standalone package using Node.js version 22 or higher.

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