What is io.github.kubeshop/testkube-mcp?

MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants

How do I install io.github.kubeshop/testkube-mcp?

Clone io.github.kubeshop/testkube-mcp from https://github.com/kubeshop/testkube and configure it as an MCP server in your client (Claude Desktop, Cursor, or VS Code).

Is io.github.kubeshop/testkube-mcp open source?

Yes, io.github.kubeshop/testkube-mcp is open source under the NOASSERTION license. Source code is available at https://github.com/kubeshop/testkube.

What category does io.github.kubeshop/testkube-mcp belong to?

io.github.kubeshop/testkube-mcp is listed under Developer Tools MCP servers on MCPFind.

io.github.kubeshop/testkube-mcp — MCP Server for Developer Tools

The Open Testing Platform for AI-driven Engineering Teams

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..

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:

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

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

⭐️ @lreimer - K6 executor Gradle executor Maven executor
⭐️ @jdborneman-terminus - Ginkgo executor
️⭐️ @abhishek9686
⭐️ @ancosma
⭐️ @Stupremee
⭐️ @artem-zherdiev-ingio
⭐️ @chooco13 - Playwright executor

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!

Set up in your AI client

AI clientOperating system

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json

{
  "mcpServers": {
    "io-github-kubeshop-testkube-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/kubeshop/mcp-server:2.14.2"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Compatible MCP Clients

io.github.kubeshop/testkube-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.

Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.

VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.

Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.

Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

io.github.kubeshop/testkube-mcp