jmeter-mcp-server

# JMeter MCP Server - Advanced Edition **Package:** jmeter-mcp-server v2.0.0 | **Status:** ✅ Published on PyPI | **Date:** January 27, 2026 --- ## 🚀 Quick Start ### What is This? An advanced MCP (Model Context Protocol) server with 14 comprehensive tools for analyzing, correlating, and enhancing JMeter performance test plans. Works seamlessly with Autogen, Claude, GPT-4, and any LLM via MCP protocol. ### Installation & Usage ```bash # Install from PyPI pip install jmeter-mcp-server # Run the server jmeter-mcp # Use with Autogen from autogen_ext.models.openai import AzureOpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StdioServerParams from autogen_agentchat.agents import AssistantAgent server_params = StdioServerParams( command="python", args=["-m", "jmeter_mcp.cli"] ) async with McpWorkbench(server_params) as workbench: agent = AssistantAgent( name="jmeter_analyst", model_client=model_client, workbench=workbench, system_message="You are a JMeter performance testing expert." ) ``` --- ## 📦 Package Contents ### Source Code ``` jmeter_mcp/ ├── __init__.py Package metadata ├── cli.py MCP server entry point └── jmeter_adva_mcp_o_14_Aug_25.py Advanced server (2593 lines, 14 tools) ``` ### Configuration ``` pyproject.toml Package config (PEP 517/518) LICENSE MIT License README.md This documentation ``` --- ## 🔧 Available Tools (14 Advanced Tools) ### 1. run_test Run a JMeter test plan with specified users and settings. **Input:** - `jmx_path` (string): Path to the JMX test plan file - `users` (integer): Number of concurrent users - `ramp_time` (integer, optional): Ramp-up time in seconds - `duration` (integer, optional): Test duration in seconds **Output:** Test execution results and metrics ### 2. analyze_results Analyze the results from a JTL (JMeter Test Log) file. …