# JMeter MCP Server

> Use this tool when you need to execute JMeter performance tests through AI assistants or MCP-compatible clients, enabling automated testing and analysis of system performance. It solves problems related to load testing, stress testing, and performance optimization by providing a scalable and flexible testing solution. The JMeter MCP Server takes test scripts and configuration as input and outputs performance metrics and test results, making it ideal for use cases where automated testing and AI-driven analysis are required.

Canonical page: https://skillsregistry.net/skills/narasimhakatta-mcp  
JSON: https://api.skillsregistry.net/v1/skills/narasimhakatta-mcp

## Description

A Model Context Protocol server that enables execution of JMeter performance tests through AI assistants and MCP-compatible clients like Claude, Cursor, and Windsurf.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **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/fwoulh81lc)
- **Repository:** <https://github.com/Narasimhakatta/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": "narasimhakatta-mcp"
    }
  }
}
```

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