Overview
The Gatling AI extensions provides skills and an MCP server to help you deploy and run load tests on Gatling Enterprise directly from your IDE.
Installation
Installation for Claude Code
The plugin can be installed directly from our marketplace via Claude Code’s plugin system.
First, configure the marketplace:
/plugin marketplace add gatling/gatling-ai-extensions
Then, install the plugin:
/plugin install gatling@gatling-ai-extensions
Or browse for the plugin via /plugin > Discover.
Finally, reload Claude.
Gatling AI Extensions
The plugin is a Gatling projects helper to deploy and run tests on Gatling Enterprise. It contains a set of skills and an MCP server.
The AI extensions are packaged as a plugin inside a Claude Marketplace but all components can be used or run manually in any LLM client that supports skills or local MCP servers.
Skills
Bootstrap a Gatling project
Skill: gatling-bootstrap-project
Create a new Gatling project from scratch by either the prompt or by using the following command inside Claude Code:
/Gatling:gatling-bootstrap-project java maven
Build tools
Skill: gatling-build-tools
Deploy and start Gatling tests on Gatling Enterprise using your project’s build tool (Maven, Gradle, sbt, or the JavaScript CLI). Detects the build tool, verifies prerequisites, runs the deploy command, and optionally starts a test run.
Configuration as Code
Skill: gatling-configuration-as-code
Generate or update the .gatling/package.conf package descriptor file for Gatling Enterprise deployments.
Collects simulation class names, queries your account for teams, packages, tests, and locations, then writes or updates
the configuration file following Configuration as Code rules.
Convert a JMeter Test Plan to Gatling
Skill: gatling-convert-from-jmeter
For example, inside an empty directory with only an Apache JMeter™ Test Plan you want to convert to Gatling, you can run the following command inside Claude Code or the equivalent in your favorite tool:
Usage:
/Gatling:gatling-convert-from-jmeter Test Plan.jmx
You can also use natural language and ask your LLM to convert a Test Plan if you prefer.
MCP Server
For the Gatling MCP server details, tools reference, and setup instructions, see the dedicated page.
When using either the skills or the MCP server, a valid API Token
is required with at least the Configure role provided as environment variable GATLING_ENTERPRISE_API_TOKEN.