Testkube AI
Connect your AI tools. Put agents to work for you. Create any test.
We're committed to helping you test anything at the speed of AI.
The gap
Your AI tools write code faster than ever. But testing is still manual, slow, and disconnected from the tools driving your development.
The pressure
When AI accelerates your release cycle, every hour your tests can't keep up is an hour of risk.
The fix
Testkube AI connects your tools, runs agents that work while you don't, and lets you author any test on demand. Testing that finally moves at your pace.
AI that actually knows your tests.
Author any test through natural language.
Prompt Testkube to create or evolve tests on any framework.
Agents that respond before you even ask.
Build agents that respond to test workflow outcomes automatically.
Turn your AI tools into testing experts.
Testkube exposes its full API surface as an MCP Server, so Claude, Cursor, Copilot, or any MCP-compatible tool can interact directly with your tests.
Why Testkube AI
Testkube Al knows your tests
Ordinary Al tools have no visibility into your test history, failure patterns, or execution results. Testkube Al lives inside your testing platform, so every answer is grounded in your actual environment.
Writing tests is easy. Running them isn't.
Any AI tool can output a test file. Only Testkube AI can execute it immediately in your real infrastructure, on any testing framework.
Testkube AI keeps working when the con-versation ends.
Agents respond to failures automatically, investigate without you asking, and post results where your team works.
Real scenarios where Testkube AI changes how engineering teams work.
Automated Remediation
Debugging test failures adds up. AI-assisted debugging finds the root cause in minutes, not hours — without leaving your tools.
AI-Assisted Test Debugging
Give agents access to source code, infrastructure, and observability tools to correlate test failures with what's actually happening across your environment.
Cross-System Root Cause Analysis
Go beyond analysis. Let agents diagnose failures, propose fixes, and open pull requests — with human review built in.
Shape what Testkube AI becomes.
Frequently asked questions
What is the difference between AI Agents and MCP Server?
MCP Server is the connection layer: it lets external AI tools (Claude, Cursor, Copilot) interact with your Testkube instance through natural language. You are still in the loop — you're asking the AI to do things for you. AI Agents are autonomous: they respond to test workflow events without you initiating anything. When a test fails, an agent triggers automatically, investigates, and reports. Both are live today.
Do I need to change my existing testing tools or workflows to use Testkube AI?
No. Testkube AI works on top of your existing test workflows and tooling. If you're already running tests via Testkube — with Playwright, k6, Postman, pytest, or anything else — the AI layer connects to those workflows without requiring migration or changes to how tests are written or organized.
What LLM providers does Testkube AI support?
Testkube supports multiple providers including OpenAI and Anthropic, with more being added. You can select your preferred model within the Testkube UI. Cloud customers can bring their own LLM — useful for organizations with model licensing requirements or data residency constraints. You pay your provider directly.
Does Testkube AI send my test data to external services?
Tests execute inside your Kubernetes clusters. The Testkube control plane coordinates execution, but your test artifacts and results stay in your infrastructure. When using AI features, certain metadata (logs, failure summaries) may be sent to your configured LLM provider for analysis — governed by that provider's data policy. For full details, see our Privacy Policy.
Is Testkube AI available on the open source version?
MCP Server is available to all users including open source. AI Agents and AI Authoring are part of Testkube's Pro and Enterprise offerings.