# JMeter MCP Server

> Use this tool when you need to execute and manage performance tests using natural language commands, solving problems of automated testing and performance evaluation. It takes natural language inputs and outputs performance test results, allowing AI assistants to interact with JMeter tests seamlessly. Ideal for use cases where automated testing and performance monitoring are crucial, such as load testing and stress testing scenarios.

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

## Description

A Model Context Protocol server that allows AI assistants to execute and manage JMeter performance tests through natural language commands.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k5hsl3p7qd)
- **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-mcp-server"
    }
  }
}
```

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