Testkube Mcp
io.github.kubeshopPublished by GitHub account kubeshopv2.15.0Updated Oct 29, 2026
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
Overview
Testkube MCP server that lets an AI assistant manage Testkube test workflows, executions and artifacts from a remote endpoint or a local container.
- What you can do
- Manage test workflows: define and organize Testkube test workflows and orchestrate them across environments
- Run and trigger test executions, including manually, on schedules or from pipelines
- Review results: inspect test results, artifacts, logs and resource metrics for troubleshooting and reporting
- Work across clusters and environments through the Testkube control plane and dashboard
- When to use it
- Useful when a team already runs automated tests on Testkube and wants an assistant to trigger runs, check results and artifacts, or help investigate failures without leaving the chat.
- Requirements
- A Testkube account with an organization ID (TK_ORG_ID) and environment ID (TK_ENV_ID), plus an access token (TK_ACCESS_TOKEN). Connects to the control plane at by default (overridable via TK_CONTROL_PLANE_URL) or runs locally as a Docker image over stdio; OAuth authentication is declared. An optional inbound bearer token (TK_MCP_SHTTP_AUTH_TOKEN) is needed only for the shttp transport.
Installation
In SourceWeft
- Open Testkube Mcp in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
[Testkube Open Source - Get Started] [Image]Trusted by Engineering Teams at CoreWeave, NVidia, Siemens, T-Mobile, Harvard, SwissCom, and many more..
Website | Docs | Changelog | Blog | Slack | LinkedIn | X
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!
Source: README.md at commit 3012233
Tools
0Version history
4- v2.15.0LatestOct 29, 2026
- v2.14.2Oct 19, 2026
- v2.14.0Oct 1, 2026
- v2.9.1Sep 16, 2026
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