Integrate Qase with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet case on Qase
Retrieves details for a specific test case
Get project on Qase
Retrieves details for a specific project
Get run on Qase
Retrieves details for a specific test run
List cases on Qase
Lists test cases in a project
List defects on Qase
Lists all defects linked to test case failures
List milestones on Qase
Lists all milestones in a project
List plans on Qase
Lists all test plans in a project
List projects on Qase
Lists all projects in Qase
List runs on Qase
Lists all test runs in a project
List suites on Qase
Lists test suites in a project
Security & Code Integrity Audit
Every tool in the Qase MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Can it help me track Jira bugs linked to tests?
Yes. By using the list_defects capability, your AI can pull all registered defects in a Qase project. If your Qase is integrated with Jira or GitHub, the returned defect data includes external issue links, helping developers immediately map a failed test to the corresponding engineering ticket.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Qase?
The Qase integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
LLM Orchestration for test management
The Qase MCP manages API routing for test management. This enables AI agents like Claude Code to execute structured developer tools queries.
Managing defect tracking inside Claude
The Qase integration exposes LLM-friendly schemas for defect tracking. Tools like Cursor can map natural language directly into executable developer tools commands.
Qase. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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