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🚀⚡️ locust-mcp-server

用于运行 Locust 负载测试的模型上下文协议 (MCP) 服务器实现。该服务器支持将 Locust 负载测试功能与 AI 驱动的开发环境无缝集成。

✨ 特点

  • 与模型上下文协议框架的简单集成

  • 支持无头和 UI 模式

  • 可配置的测试参数(用户、生成率、运行时间)

  • 用于运行 Locust 负载测试的易于使用的 API

  • 实时测试执行输出

  • 开箱即用的 HTTP/HTTPS 协议支持

  • 自定义任务场景支持

Locust-MCP-服务器

Related MCP server: JMeter MCP Server

🔧 先决条件

开始之前,请确保已安装以下软件:

  • Python 3.13 或更高版本

  • uv 包管理器(安装指南)

📦安装

  1. 克隆存储库:

git clone https://github.com/qainsights/locust-mcp-server.git
  1. 安装所需的依赖项:

uv pip install -r requirements.txt
  1. 设置环境变量(可选):在项目根目录中创建一个.env文件:

LOCUST_HOST=http://localhost:8089  # Default host for your tests
LOCUST_USERS=3                     # Default number of users
LOCUST_SPAWN_RATE=1               # Default user spawn rate
LOCUST_RUN_TIME=10s               # Default test duration

🚀 入门

  1. 创建 Locust 测试脚本(例如hello.py ):

from locust import HttpUser, task, between

class QuickstartUser(HttpUser):
    wait_time = between(1, 5)

    @task
    def hello_world(self):
        self.client.get("/hello")
        self.client.get("/world")

    @task(3)
    def view_items(self):
        for item_id in range(10):
            self.client.get(f"/item?id={item_id}", name="/item")
            time.sleep(1)

    def on_start(self):
        self.client.post("/login", json={"username":"foo", "password":"bar"})
  1. 在您最喜欢的 MCP 客户端(Claude Desktop、Cursor、Windsurf 等)中使用以下规格配置 MCP 服务器:

{
  "mcpServers": {
    "locust": {
      "command": "/Users/naveenkumar/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/naveenkumar/Gits/locust-mcp-server",
        "run",
        "locust_server.py"
      ]
    }
  }
}
  1. 现在让 LLM 运行测试,例如run locust test for hello.py 。Locust MCP 服务器将使用以下工具启动测试:

  • run_locust :使用可配置选项运行测试,包括无头模式、主机、运行时、用户和生成率

📝 API 参考

运行 Locust 测试

run_locust(
    test_file: str,
    headless: bool = True,
    host: str = "http://localhost:8089",
    runtime: str = "10s",
    users: int = 3,
    spawn_rate: int = 1
)

参数:

  • test_file :Locust 测试脚本的路径

  • headless :以无头模式运行(True)或使用 UI 运行(False)

  • host :要进行负载测试的目标主机

  • runtime :测试时长(例如“30秒”、“1分钟”、“5分钟”)

  • users :要模拟的并发用户数

  • spawn_rate :用户生成的速率

✨ 用例

  • LLM 支持的结果分析

  • 在 LLM 的帮助下进行有效调试

🤝 贡献

欢迎贡献代码!欢迎提交 Pull 请求。

📄 许可证

该项目根据 MIT 许可证获得许可 - 有关详细信息,请参阅 LICENSE 文件。

Available Tools

1 tool
run_locustC

Run Locust with the given configuration.

Inputs: test_file (required), host, users, spawn_rate, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.7/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'run_locust' has a clear and distinct purpose that cannot be mistaken for any other tool in this set.

    Naming Consistency5/5

    The single tool name 'run_locust' follows a clear verb_noun pattern, and with only one tool, there is perfect consistency. There are no other tools to compare against, so no inconsistencies can exist.

    Tool Count2/5

    A single tool is too few for most server purposes, as it severely limits functionality and flexibility. For a Locust server, one might expect additional tools for tasks like configuring tests, viewing results, or managing load scenarios, making this set feel incomplete and under-scoped.

    Completeness1/5

    The tool set is severely incomplete for a Locust server, which typically involves multiple aspects of load testing such as setup, execution, monitoring, and analysis. With only a 'run' tool, there are significant gaps that will cause agent failures, as it lacks coverage for configuration management, result retrieval, or test lifecycle operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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