What prerequisites are needed?
Python 3.13 or higher and the uv package manager.
@QAInsights
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"locust-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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