# JMeter

> Use this tool when you need to automate load testing workflows through conversational AI, solving performance testing challenges by executing Apache JMeter tests via natural language commands. It takes JMeter test plans (.jmx files) as input and returns detailed execution results, supporting both GUI and non-GUI modes. Ideal for performance engineers, it streamlines performance testing by integrating with JMeter's command-line interface.

Canonical page: https://skillsregistry.net/skills/qainsights-jmeter  
JSON: https://api.skillsregistry.net/v1/skills/qainsights-jmeter

## Description

JMeter MCP Server provides a bridge between AI assistants and Apache JMeter, enabling execution of performance tests through natural language commands. The implementation offers tools to run JMeter tests in both GUI and non-GUI modes, with proper environment configuration and error handling. Built with Python using the FastMCP framework, it integrates with JMeter's command-line interface to execute test plans (.jmx files) and return detailed execution results, making it ideal for performance engineers who want to automate load testing workflows through conversational AI.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qainsights-jmeter)
- **Repository:** <https://github.com/qainsights/jmeter-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-jmeter"
    }
  }
}
```

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