Qase

Qase is an MCP server that integrates AI assistants with the Qase test management platform via the Qase REST API. Built with TypeScript, it is designed for QA engineers, software developers, and product teams who manage quality assurance workflows inside MCP-compatible environments. The server allows language models to programmatically interact with testing assets, removing the need to navigate the Qase web interface manually during development or bug analysis. Through standard MCP tools, connected clients can list and inspect projects, retrieve and modify test suites, fetch and create test cases, and manage test plans. It also provides functionality to check test runs and report individual or bulk test run results directly from the client. Additionally, teams can maintain shared testing steps across their projects. By bridging test operations directly to developer workstations and AI coding assistants, Qase helps streamline test authoring, test execution reporting, and defect lifecycle tracking.

Category: Developer Tools & Code Intelligence

Tags: qa, qase, testing, test-management

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How to install and configure Qase

1. Clone the repository and install dependencies by running npm install in the project root. 2. Build the project using npm run build to generate the JavaScript output at build/index.js. 3. Configure Claude Desktop by editing your configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%/Claude/claude_desktop_config.json on Windows). 4. Add the server under mcpServers: json { "mcpServers": { "mcp-qase": { "command": "/path/to/mcp-qase/build/index.js", "env": { "QASE_API_TOKEN": "<YOUR_TOKEN>" } } } } 5. If using Cursor, register the server with env QASE_API_TOKEN=<YOUR_TOKEN> /path/to/mcp-qase/build/index.js.

What you can do with Qase

• Creating and updating test cases directly from AI-generated acceptance criteria and unit tests within an IDE. - Fetching existing test suites and test runs to diagnose missing coverage or review execution logs during debugging. - Logging individual or bulk test execution results automatically from test runner scripts and conversational AI interfaces. - Managing reusable shared steps and hierarchical test suites across multiple software projects without opening a browser. - Creating, updating, or deleting structured test plans to organize QA releases and automated regression cycles.

Key facts

• https://github.com/rikuson/mcp-qase
• Developer Tools & Code Intelligence, Project & Task Management
• qa, qase, testing, test-management

Part of MCP Servers

How do I install Qase MCP Server?

You clone the repository and run npm install, followed by npm run build. Then, configure your MCP client such as Claude Desktop or Cursor to execute the compiled index.js file while passing your QASE_API_TOKEN as an environment variable.

What can Qase MCP Server do?

It provides tools to manage Qase test entities. You can list or create projects, manage test cases and test suites, configure test plans, query test runs, submit test execution results in bulk, and manage reusable shared steps.

Which MCP clients work with Qase?

The server works with Claude Desktop, Cursor, and any MCP client capable of communicating with standard input and output processes. You can also inspect and test it using the official MCP Inspector.

What authentication is required for Qase MCP Server?

The server requires a valid Qase API token provided via the QASE_API_TOKEN environment variable in your MCP client configuration.