Integrate Gatling with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage load testing via Gatling Enterprise — list and start simulations, monitor test runs and request stats, and handle generator pools directly from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

abort

Abort simulation on Gatling

Abort a running Gatling simulation

get

Get run on Gatling

Get full details of a Gatling run

get

Get simulation on Gatling

Get full details of a Gatling simulation

list

List packages on Gatling

List uploaded packages/artifacts on Gatling Enterprise

list

List pools on Gatling

List load generator pools on Gatling Enterprise

list

List runs on Gatling

List runs for a Gatling simulation

list

List simulations on Gatling

Simulations define load scenarios with VU populations. Returns names, IDs, class names, and team associations. List all simulations on Gatling Enterprise

list

List teams on Gatling

List teams on Gatling Enterprise

list

List tokens on Gatling

List API tokens on Gatling Enterprise

start

Start simulation on Gatling

Returns run ID. Start a Gatling simulation run

Security & Code Integrity Audit

Every tool in the Gatling MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Can my agent start a Gatling simulation run via chat?

Yes. Use the 'start_simulation' tool with the specific Simulation ID. The agent will command the Gatling Enterprise infrastructure to begin the load test and return a unique run ID for tracking.

Supported Use Cases for Gatling

Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Gatling infrastructure.

Cursor Copilot for load testing

Connect the Gatling server to enable load testing workflows. The integration provides structured schemas for Claude to mutate developer tools data.

Managing performance testing inside Claude

The Gatling MCP manages API routing for performance testing. This enables AI agents like Claude Code to execute structured developer tools queries.

Gatling. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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