QASphere
OfficialConnects AI assistants to QA Sphere test management system to view, summarize, and discuss test cases directly from AI-powered IDEs.
Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs.
What it does
- Browse QA Sphere test cases
- Summarize test case details
- Reference specific test cases in conversations
- Query test management data
- Integrate test cases into development workflow
Best for
About QASphere
QASphere is an official MCP server published by hypersequent that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate QASphere for seamless Jira test case management, enabling AI-powered test management tools for Jira and direct It is categorized under developer tools, productivity.
How to install
You can install QASphere in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
QASphere is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
- Navigate to
Claude→Settings→Developer→Edit Config - Open
claude_desktop_config.json - Add the QA Sphere configuration to the
mcpServersdictionary
Cursor
Option 1: Manual Configuration
- Go to
Settings...→Cursor settings→Add new global MCP server - Add the QA Sphere configuration
Option 2: Quick Install
Click the button below to automatically install and configure the QA Sphere MCP server:
5ire
- Open 'Tools' and press 'New'
- Complete the form with:
- Tool key:
qasphere - Command:
npx -y qasphere-mcp - Environment variables (see below)
- Tool key:
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.
Alternatives
Related Skills
Browse all skillsUI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Leveraging AI coding assistants and tools to boost development productivity, while maintaining oversight to ensure quality results.
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Creates educational Teams channel posts for internal knowledge sharing about Claude Code features, tools, and best practices. Applies when writing posts, announcements, or documentation to teach colleagues effective Claude Code usage, announce new features, share productivity tips, or document lessons learned. Provides templates, writing guidelines, and structured approaches emphasizing concrete examples, underlying principles, and connections to best practices like context engineering. Activates for content involving Teams posts, channel announcements, feature documentation, or tip sharing.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.