Locust MCP Server

MCPOpen SourceMIT33.1

by QAInsights • Automation & Orchestration

An MCP server that runs Locust load tests and exposes a simple API for LLM-driven test execution and configuration.

Example Use Cases

1
Remotely start and configure Locust load tests (host, users, spawn rate, runtime) via MCP commands.
2
Real-time execution output and status updates from running Locust tests to analyze performance interactively.
3
Integrate load-testing workflows into AI-driven development environments or orchestration pipelines.

Description

This project provides a Model Context Protocol (MCP) server implementation to run Locust load tests from AI-powered development environments. It supports headless and UI modes, configurable test parameters (users, spawn rate, runtime), and real-time execution output. The server integrates with MCP clients (e.g., Claude Desktop, Cursor, Windsurf) to let agents start and manage tests, and supports HTTP/HTTPS and custom task scenarios.

Quick Actions

View on GitHub

Security

Scanned 3 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C51/100

7/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

OwnerQAInsights

CategoryAutomation & Orchestration

DependenciesStandalone