The Open Testing Platform for AI-driven Engineering Teams

MCP serverDev tools

This integration connects your AI to Testkube, a developer testing tool. Once it is added, your AI can manage your test workflows, test executions, and the artifacts those tests produce. That means routine testing tasks can be handled by simply asking your AI.

Unavailable. This server has no hosted endpoint yet, so Ahel can't serve it.

Add to setup to save this item as a reference. Ahel cannot run it, and signing in will not install it.

What your AI can do with it

  • Review and manage test workflows
  • Check test executions and their results
  • Retrieve artifacts from test executions
  • Handle Testkube testing tasks through conversation

Getting started

  1. Save this item in Your setup as a reference.
  2. Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
  3. Check this page for availability before trying to install it through Ahel.

From the project's README

As published by kubeshop/testkube in README.md.

Testkube provides a single platform for defining, running and analyzing automated tests, using your existing testing tools/scripts, running in your Kubernetes infrastructure.


Trusted by Engineering Teams at CoreWeave, NVidia, Siemens, T-Mobile, Harvard, SwissCom, and many more..


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Why Testkube?

  • Run any Tests : Execute any tests/tools/scripts at scale; API, E2E, Performance, Security, Infrastructure, etc. - Examples & Guides.
  • Trigger Tests whenever needed: Trigger tests manually, on schedules, from CI/CD/GitOps pipelines, on Kubernetes Events, via the REST API, through MCP, etc. - Read More.
  • See Everything: All test results, artifacts, logs and resource-metrics are aggregated for centralized troubleshooting and reporting - Read More.
  • Integrate Natively: Testkube integrates with existing tools and infrastructure using Webhooks, the Testkube REST API or the MCP Server - see Integration Examples.
  • Testkube AI: Use the Testkube MCP Server or native AI Agents for troubleshooting, analysis, remediation, etc - Read More
  • Enterprise Ready: SSO/SCIM, RBAC, Teams, Resource-Groups, Audit-logs, etc. - Read More.

See it in action: Open the interactive TestWorkflows showcase to see how a workflow builds up from a single test to a fully orchestrated pipeline.

Two ways to run Testkube

Open Source Agent - this repo.

MIT-licensed, runs standalone in your Kubernetes cluster, no control plane required. Great for single-cluster setups, self-managed environments, and evaluating Testkube.

  • The Helm or CLI Installation will make it easy to deploy the agent into your target cluster.
  • The Quickstart is the easiest way to set up Testkube and run your first tests.

Check out the Testkube Open Source Overview to learn more about the open source deployment architecture.

Commercial Control Plane

The control plane connects every Testkube agent across clusters, teams, and environments into a single dashboard:

  • One control plane, unlimited clusters - orchestrate and analyze tests across clusters and regions
  • Testkube AI - workflow generation, failure investigation, remediation PRs
  • Enterprise-grade - SSO/SCIM, RBAC, audit logs, SLA-backed support

Check out the Installation Overview to learn more about different ways to deploy and run the Testkube Control Plane.

The online Trial is the easiest way to try the commercial Testkube offering - Get Started

Marketplace

The Testkube Marketplace provides an open and ready-to-use catalog of Testkube Workflows for Infrastructure Testing - Read More.

Documentation

Extensive documentation is available at docs.testkube.io.

Contributing

Check out our Contributors Guide and the Agent Architecture to find your way around our codebase and process.

If you want to contribute code, this reading order works well:

  1. CONTRIBUTING.md - contribution workflow, coding standards, and PR process
  2. DEVELOPMENT.md - local setup with Tilt and day-to-day development loop
  3. ARCHITECTURE.md - high-level system design and key code paths

Shout-out to our contributors 🎉 - you're great!

Go to contribution document to read more how can you help us 🔥

Feedback

Whether Testkube helps you or not, we would love to help and hear from you. Please join us on Slack to ask questions and let us know how we can make Testkube even better!

Signals

GitHub stars
2k
Forks
179
Last commit
Sep 2026
Advanced
Delivery
testkube-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-kubeshop-testkube-mcp
Source
github.com/kubeshop/testkube
Hosted endpoint
https://api.testkube.io/organizations/{organization_id}/environments/{environment_id}/mcp