# k6-loadtest-mcp

> k6-loadtest-mcp — krishanchawla-k6-loadtest-mcp. Use this tool when you need to automate load testing for APIs described in natural language, solving problems of manual test creation and performance metric collection. It takes API descriptions as input and outputs structured performance metrics, enabling AI-assisted reporting and analysis. Ideal for use cases where efficient and scalable load testing is required, such as optimizing API performance and reliability.

Canonical page: https://skillsregistry.net/skills/krishanchawla-k6-loadtest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/krishanchawla-k6-loadtest-mcp

## Description

Turns natural-language API descriptions into runnable k6 load tests, executes them, and returns structured performance metrics for AI-assisted reporting.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wrhz5qvn4z)
- **Repository:** <https://github.com/krishanchawla/k6-loadtest-mcp>

## 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": "krishanchawla-k6-loadtest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krishanchawla-k6-loadtest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krishanchawla-k6-loadtest-mcp/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