QAInsights/locust-mcp-server

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.

37
/ 100
Emerging

This tool helps developers who use AI-powered development environments to assess the performance of their applications. It takes your existing Locust load test scripts and runs them, providing real-time execution output to show how your application handles simulated user traffic. This is for software developers and quality assurance engineers looking to integrate load testing directly into their AI-assisted coding workflows.

No commits in the last 6 months.

Use this if you are a software developer or QA engineer using an AI-powered development environment and want to run Locust load tests against your application directly from your AI assistant.

Not ideal if you are not using an AI-powered development environment or prefer to run your load tests manually or through a traditional CI/CD pipeline.

performance-testing load-testing software-development quality-assurance AI-assisted-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

11

Forks

7

Language

Python

License

MIT

Last pushed

Apr 06, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/QAInsights/locust-mcp-server"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.