🚀 Jmeter Mcp 伺服器

JMeter MCP 伺服器是什麼？

JMeter MCP 伺服器是一個創新的解決方案，將 Apache JMeter 與 AI 工作流程整合，增強性能測試能力。它允許用戶以更高效的方式執行 JMeter 測試，利用人工智慧來優化測試場景和結果分析。這個伺服器專為希望簡化測試流程的開發人員和測試人員設計，同時確保高品質的軟體交付。

JMeter MCP 伺服器的特點

• AI 整合：JMeter MCP 伺服器利用 AI 算法分析測試結果，提供幫助優化測試案例的見解。
• 使用者友好的介面：它提供直觀的介面，簡化創建和管理測試計畫的過程。
• 可擴展性：該伺服器可以同時處理多個測試執行，適合大規模測試環境。
• 實時監控：用戶可以實時監控測試執行，允許立即調整和故障排除。
• 全面報告：伺服器生成詳細報告，提供性能指標的見解，幫助團隊做出明智的決策。

如何使用 JMeter MCP 伺服器

1. 安裝：從官方庫下載 JMeter MCP 伺服器，並按照文檔中提供的安裝說明進行操作。
2. 配置：根據您的測試需求配置伺服器設置，包括設置測試參數、AI 整合選項和用戶權限。
3. 創建測試計畫：使用友好的介面創建和自定義您的測試計畫。您可以定義場景、指定負載條件和設置性能指標。
4. 執行測試：直接從伺服器啟動測試。AI 算法將實時分析執行過程，提供見解和建議。
5. 審查結果：測試執行後，審查伺服器生成的全面報告。利用這些見解來優化您的應用程序並改善性能。

常見問題解答

Q1: JMeter MCP 伺服器的主要目的是什么？

A1: JMeter MCP 伺服器的主要目的是通過整合 AI 工作流程來增強性能測試，允許更高效的測試執行和分析。

Q2: 我可以使用 JMeter MCP 伺服器進行大規模測試嗎？

A2: 是的，JMeter MCP 伺服器設計用於處理大規模測試環境，支持多個同時測試執行。

Q3: 使用 JMeter MCP 伺服器是否需要費用？

A3: JMeter MCP 伺服器是一個公共庫，免費提供。然而，用戶可能需要考慮基礎設施和額外工具的相關費用。

Q4: AI 如何改善 JMeter MCP 伺服器中的測試過程？

A4: AI 通過實時分析測試結果來改善測試過程，提供幫助優化測試案例和改善整體性能的見解。

Q5: 我可以在哪裡找到有關 JMeter MCP 伺服器的更多信息？

A5: 更多信息可以在官方網站 jmeter.ai 和 GitHub 倉庫 QAInsights/jmeter-mcp-server 中找到。

🚀 JMeter MCP Server

This is a Model Context Protocol (MCP) server that allows executing JMeter tests through MCP-compatible clients and analyzing test results.

[!IMPORTANT] 📢 Looking for an AI Assistant inside JMeter? 🚀 Check out Feather Wand

📋 Features

JMeter Execution

• 📊 Execute JMeter tests in non-GUI mode
• 🖥️ Launch JMeter in GUI mode
• 📝 Capture and return execution output
• 📊 Generate JMeter report dashboard

Test Results Analysis

• 📈 Parse and analyze JMeter test results (JTL files)
• 📊 Calculate comprehensive performance metrics
• 🔍 Identify performance bottlenecks automatically
• 💡 Generate actionable insights and recommendations
• 📊 Create visualizations of test results
• 📑 Generate HTML reports with analysis results

🛠️ Installation

Local Installation

1. Install uv:

2. Ensure JMeter is installed on your system and accessible via the command line.

⚠️ Important: Make sure JMeter is executable. You can do this by running:

chmod +x /path/to/jmeter/bin/jmeter

3. Install required Python dependencies:

pip install numpy matplotlib

4. Configure the .env file, refer to the .env.example file for details.

### JMeter Configuration
JMETER_HOME=/path/to/apache-jmeter-5.6.3
JMETER_BIN=${JMETER_HOME}/bin/jmeter

### Optional: JMeter Java options
JMETER_JAVA_OPTS="-Xms1g -Xmx2g"

💻 MCP Usage

1. Connect to the server using an MCP-compatible client (e.g., Claude Desktop, Cursor, Windsurf)

2. Send a prompt to the server:

Run JMeter test /path/to/test.jmx

3. MCP compatible client will use the available tools:

JMeter Execution Tools

• 🖥️ execute_jmeter_test: Launches JMeter in GUI mode, but doesn't execute test as per the JMeter design
• 🚀 execute_jmeter_test_non_gui: Execute a JMeter test in non-GUI mode (default mode for better performance)

Test Results Analysis Tools

• 📊 analyze_jmeter_results: Analyze JMeter test results and provide a summary of key metrics and insights
• 🔍 identify_performance_bottlenecks: Identify performance bottlenecks in JMeter test results
• 💡 get_performance_insights: Get insights and recommendations for improving performance
• 📈 generate_visualization: Generate visualizations of JMeter test results

🏗️ MCP Configuration

Add the following configuration to your MCP client config:

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

✨ Use Cases

Test Execution

• Run JMeter tests in non-GUI mode for better performance
• Launch JMeter in GUI mode for test development
• Generate JMeter report dashboards

Test Results Analysis

• Analyze JTL files to understand performance characteristics
• Identify performance bottlenecks and their severity
• Get actionable recommendations for performance improvements
• Generate visualizations for better understanding of results
• Create comprehensive HTML reports for sharing with stakeholders

🛑 Error Handling

The server will:

• Validate that the test file exists
• Check that the file has a .jmx extension
• Validate that JTL files exist and have valid formats
• Capture and return any execution or analysis errors

📊 Test Results Analyzer

The Test Results Analyzer is a powerful feature that helps you understand your JMeter test results better. It consists of several components:

Parser Module

• Supports both XML and CSV JTL formats
• Efficiently processes large files with streaming parsers
• Validates file formats and handles errors gracefully

Metrics Calculator

• Calculates overall performance metrics (average, median, percentiles)
• Provides endpoint-specific metrics for detailed analysis
• Generates time series metrics to track performance over time
• Compares metrics with benchmarks for context

Bottleneck Analyzer

• Identifies slow endpoints based on response times
• Detects error-prone endpoints with high error rates
• Finds response time anomalies and outliers
• Analyzes the impact of concurrency on performance

Insights Generator

• Provides specific recommendations for addressing bottlenecks
• Analyzes error patterns and suggests solutions
• Generates insights on scaling behavior and capacity limits
• Prioritizes recommendations based on potential impact

Visualization Engine

• Creates time series graphs showing performance over time
• Generates distribution graphs for response time analysis
• Produces endpoint comparison charts for identifying issues
• Creates comprehensive HTML reports with all analysis results

📝 Example Usage

### Run a JMeter test and generate a results file
Run JMeter test sample_test.jmx in non-GUI mode and save results to results.jtl

### Analyze the results
Analyze the JMeter test results in results.jtl and provide detailed insights

### Identify bottlenecks
What are the performance bottlenecks in the results.jtl file?

### Get recommendations
What recommendations do you have for improving performance based on results.jtl?

### Generate visualizations
Create a time series graph of response times from results.jtl