# k6 Load Testing

> Use this tool when you need to perform load testing on applications and systems, solving problems like identifying performance bottlenecks and optimizing resource utilization. It takes natural language commands as input and outputs performance test results, allowing users to configure parameters like test duration and virtual user count. Use k6 Load Testing in contexts where automated, conversational performance testing is required, such as DevOps workflows and continuous integration pipelines.

Canonical page: https://skillsregistry.net/skills/qainsights-k6-load-testing  
JSON: https://api.skillsregistry.net/v1/skills/qainsights-k6-load-testing

## Description

k6-mcp-server is a Python-based MCP server that enables AI assistants to execute k6 load testing scripts through natural language commands. The implementation provides tools for running performance tests with configurable parameters like duration and virtual user count, handling script validation and execution via subprocess calls to the k6 binary. Developed by QAInsights, it bridges the gap between conversational AI and performance testing workflows, allowing users to initiate and analyze load tests without directly interacting with the command line interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qainsights-k6-load-testing)
- **Repository:** <https://github.com/qainsights/k6-mcp-server>

## 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": "qainsights-k6-load-testing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qainsights-k6-load-testing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qainsights-k6-load-testing/pull`

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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
