The JMeter MCP server allows AI agents to execute and analyze JMeter tests. It provides tools for running performance tests, collecting metrics, and generating reports. The server connects to JMeter's API for test execution and integrates with JMeter's reporting tools. Developers use it for automated performance testing, load testing, and analyzing test results within AI workflows.
The JMeter MCP server allows AI agents to execute and analyze JMeter tests. It provides tools for running performance tests, collecting metrics, and generating reports. The server connects to JMeter's API for test execution and integrates with JMeter's reporting tools. Developers use it for automated performance testing, load testing, and analyzing test results within AI workflows.
pip install jmeter-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"qainsights-jmeter-mcp-server-github": {
"command": "uvx",
"args": [
"pip install jmeter-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from jmeter?"
No configuration required. This server works out of the box.
"What resources are available in jmeter?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in jmeter"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in jmeter with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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