JMeter Demo Using MCP
@vjgit-369
JMeter Demo Using MCP について
Jmeter Demo Using Jmeter MCP Server
基本情報
設定
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 Demo Using MCP?
JMeter Demo Using MCP is a project that demonstrates how to combine JMeter with the Model Context Protocol (MCP) for automated performance testing. It is designed for testers and developers who want to run JMeter tests programmatically through an MCP-compatible client.
How to use JMeter Demo Using MCP?
Set the JMETER_HOME environment variable to your JMeter installation path, install the Python dependencies (mcp, pydantic), and then run python test_mcp.py. Test parameters such as thread count, ramp-up period, and duration can be modified directly in test_mcp.py.
Key features of JMeter Demo Using MCP
- GUI and Non-GUI test execution
- Configurable thread count and test duration
- Automated HTML report generation
- Real-time test monitoring
Use cases of JMeter Demo Using MCP
- Running JMeter performance tests with custom user loads and durations
- Generating and reviewing HTML test reports automatically
- Integrating JMeter testing into MCP-compatible development workflows
- Iteratively tuning test parameters (threads, ramp-up, duration) without manual GUI configuration
FAQ from JMeter Demo Using MCP
What is JMeter Demo Using MCP?
It is a demonstration project that integrates Apache JMeter with the Model Context Protocol (MCP) to automate performance testing and report generation.
What are the prerequisites?
Python 3.x, Apache JMeter (with JMETER_HOME set), and an MCP-compatible client such as Cursor.
How do I configure test parameters (thread count, ramp-up, duration)?
Edit the command-line arguments in test_mcp.py. For example, set -Jthreads=10 for the number of users, -Jrampup=20 for the ramp-up period, and -Jduration=60 for the test duration.
Where are test results saved?
Results are saved as JTL files (results*.jtl) and as an HTML report at report*/index.html.
How do I run tests in GUI mode vs. non-GUI mode?
Run python test_mcp.py to execute tests. The server supports both GUI and Non-GUI execution; the default mode depends on how the script is invoked.
「その他」の他のコンテンツ
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Servers
modelcontextprotocolModel Context Protocol Servers
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
Mcp
browsermcpBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
コメント