# io.github.kubeshop/testkube-mcp

> Use this tool when you need to manage test workflows, executions, and artifacts in a unified manner. It solves problems related to test automation and workflow management by providing a centralized server for managing tests via AI assistants. The tool accepts test workflows and executions as inputs and outputs managed test artifacts and results, ideal for use in continuous integration and testing contexts.

Canonical page: https://skillsregistry.net/skills/io-github-kubeshop-testkube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kubeshop-testkube-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kubeshop%2Ftestkube-mcp)
- **Repository:** <https://github.com/kubeshop/testkube>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-kubeshop-testkube-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kubeshop-testkube-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kubeshop-testkube-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt