Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Test Generator MCP Server generate test scenarios from the user story I just uploaded"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
This is a Python-based project that leverages MCP and Claude desktop interface for generating test scenarios derived from the user stories uploaded in Claude desktop.
The project has the following top-level files and directories:
.env: Configuration file for environment variables.
.git/: Git version control directory (internal use).
.gitignore: Specifies files and directories to ignore in Git.
.python-version: Specifies the Python version for the project.
.venv/: Python virtual environment directory.
README.md: Project overview and documentation.
main.py: Main entry point for the application.
pyproject.toml: Python project configuration and dependencies.
requirements.txt: Project dependencies (legacy format).
server.py: Server implementation for the application.
uv.lock: Lock file for the UV package manager.
Related MCP server: qa-mcp
Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request with your changes.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Official MCP server for Qase — manage test cases, runs, suites, defects via AI tools.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Generate AI music via the Lacuna Music API from MCP clients like Claude Desktop & Code.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/debabhinav1-hub/mcptestgenwithClaude'
If you have feedback or need assistance with the MCP directory API, please join our Discord server