Model Context Protocol moderate risk

Jmeter

This MCP server enables JMeter test execution and result analysis, providing performance insights and bottleneck identification via MCP-compatible clients.

Connections & Capabilities

Connects To

GitHub

Capabilities

execreadwrite

Quickstart

Install

pip install numpy matplotlib

Config

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

Exposed MCP Tools (6)

moderate

execute_jmeter_test

Launches JMeter in GUI mode for test development and debugging.

GUI mode can consume significant resources and potentially expose the system to vulnerabilities if not properly secured.

moderate

execute_jmeter_test_non_gui

Executes a JMeter test in non-GUI mode for better performance and resource utilization.

Executing arbitrary JMX files carries the risk of resource exhaustion or unintended system modifications.

safe

analyze_jmeter_results

Analyzes JMeter test results from a JTL file and provides a summary of key performance metrics.

The tool only reads and analyzes data from the JTL file, posing minimal risk to the system.

safe

identify_performance_bottlenecks

Identifies performance bottlenecks in JMeter test results based on response times and error rates.

This tool performs read-only analysis of JTL data and does not modify the system.

safe

get_performance_insights

Provides insights and recommendations for improving performance based on JMeter test results.

This tool generates recommendations based on JTL data analysis and does not execute any commands.

safe

generate_visualization

Generates visualizations of JMeter test results, such as time series graphs and distribution charts.

This tool creates visualizations from JTL data and does not interact with the system beyond reading the file.

Safety Assessment

This server is relatively safe for test execution and analysis within a controlled environment. However, the potential for resource exhaustion and the reliance on JMeter's security necessitate careful configuration and monitoring. Avoid running untrusted JMX files.

JMeter execution is contained within the defined JMETER_HOME directory.
Analysis tools primarily operate on JTL files, minimizing direct system impact.
The server validates test file extensions and existence.
Configuration is managed through environment variables.

JMeter execution can potentially consume significant system resources.
Improperly configured JMeter tests could lead to unexpected behavior.
The server relies on the security of the underlying JMeter installation.
Access to the server is governed by the MCP client's authentication, which may not be sufficient.