# Locust

> Use this tool when you need to integrate performance testing into your AI-assisted workflows, enabling natural language control of load testing operations. It solves problems of manual command-line interaction and provides a standardized interface for configuring and executing load tests with customizable parameters. The tool takes environment variables as input and outputs controlled load tests, making it ideal for DevOps engineers and QA professionals.

Canonical page: https://skillsregistry.net/skills/qainsights-locust  
JSON: https://api.skillsregistry.net/v1/skills/qainsights-locust

## Description

Locust MCP Server provides a bridge between AI assistants and the Locust load testing framework, enabling natural language control of performance testing operations. Developed by NaveenKumar Namachivayam, this implementation uses FastMCP to expose Locust's functionality through a standardized tool that configures and executes load tests with customizable parameters including number of users, spawn rate, and test duration. The server reads configuration from environment variables and manages the Locust subprocess, making it ideal for DevOps engineers and QA professionals who want to integrate performance testing into their AI-assisted workflows without manual command-line interaction.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qainsights-locust)
- **Repository:** <https://github.com/qainsights/locust-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qainsights-locust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qainsights-locust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qainsights-locust/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt