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🚀 JMeter MCP Server

@QAInsights

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🚀 JMeter MCP Server について

✨ JMeter Meets AI Workflows: Introducing the JMeter MCP Server! 🤯

#jmeter#performance-testing#load-testing

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

QAInsights

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "jmeter": {
      "command": "/path/to/uv",
      "args": [
        "--directory",
        "/your/dir/Gits/jmeter-mcp-server",
        "run",
        "jmeter_server.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 🚀 JMeter MCP Server?

It is a Model Context Protocol (MCP) server that lets MCP-compatible clients (e.g., Claude Desktop, Cursor, Windsurf) execute JMeter tests and analyze results. It is designed for performance testers and developers who want to run and interpret JMeter workloads through natural language prompts.

How to use 🚀 JMeter MCP Server?

Install uv, ensure JMeter is on the system and executable, then install Python dependencies (numpy, matplotlib). Configure the .env file with JMETER_HOME and JMETER_BIN. Connect via an MCP client and use tools like execute_jmeter_test_non_gui, analyze_jmeter_results, identify_performance_bottlenecks, get_performance_insights, and generate_visualization.

Key features of 🚀 JMeter MCP Server

  • Execute JMeter tests in non‑GUI mode for better performance
  • Launch JMeter in GUI mode for test development
  • Parse and calculate comprehensive performance metrics from JTL files
  • Automatically identify performance bottlenecks and their severity
  • Generate actionable insights and recommendations
  • Create visualizations and HTML reports of test results

Use cases of 🚀 JMeter MCP Server

  • Run JMeter tests in non‑GUI mode with a single prompt
  • Analyze JTL files to understand performance characteristics
  • Identify performance bottlenecks and receive severity assessments
  • Get concrete recommendations for improving performance
  • Generate HTML reports and visualizations for stakeholder sharing

FAQ from 🚀 JMeter MCP Server

What are the prerequisites?

JMeter must be installed and accessible on the command line. You also need uv and Python dependencies (numpy, matplotlib).

How do I configure the server?

Set JMETER_HOME and JMETER_BIN in the .env file. Optional JMETER_JAVA_OPTS can be added for Java heap settings.

What tools are exposed by the server?

Execution tools: execute_jmeter_test (GUI) and execute_jmeter_test_non_gui. Analysis tools: analyze_jmeter_results, identify_performance_bottlenecks, get_performance_insights, generate_visualization.

Does the server support GUI‑mode execution?

Yes, the execute_jmeter_test tool launches JMeter in GUI mode, but it does not run the test – that matches standard JMeter behavior.

What JTL file formats are supported for analysis?

Both XML and CSV JTL formats are supported. The parser uses streaming parsers for efficient processing of large files.

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