What prerequisites are needed?
Python 3.13 or higher and the uv package manager.
@QAInsights
基本信息
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"locust-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a Model Context Protocol (MCP) server for running Locust load tests, enabling seamless integration of Locust load testing capabilities with AI-powered development environments.
Install Python 3.13+ and uv, clone the repository, install dependencies, and optionally set environment variables. Create a Locust test script, configure the MCP server in your client (e.g., Claude Desktop) using the provided JSON spec, then ask the LLM to run the test. The server provides the run_locust tool for executing tests with configurable options.
Python 3.13 or higher and the uv package manager.
Create a Locust test script, then ask the LLM to run it (e.g., "run locust test for hello.py"). The server uses the `run_locust` tool.
You can set the test file, headless mode, target host, test runtime, number of users, and spawn rate.
Yes, set `headless=False` in the `run_locust` tool to launch the Locust web UI.
The repository is at github.com/qainsights/locust-mcp-server, licensed under MIT.

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