An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Gatling to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and monitor load simulations through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Gatling.

  1. 01

    Abort simulation

    This capability stops a running Gatling simulation immediately. Use it to kill a test that is overrunning or consuming too many resources.

  2. 02

    List packages

    This capability retrieves a list of all uploaded packages and artifacts on Gatling Enterprise. It helps you verify specific versions and upload times.

  3. 03

    List runs

    This capability pulls a list of all previous runs for a specific Gatling simulation. Use it to review historical execution data.

  4. 04

    List tokens

    This capability lists the API tokens currently active on your Gatling Enterprise account.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Gatling.

  1. 05

    List simulations

    This capability returns all simulations defined in Gatling Enterprise. It provides names, IDs, class names, and team associations.

  2. 06

    Get run

    This capability fetches the full details of a specific Gatling run. It provides the specific metrics and timing data for that execution.

  3. 07

    Get simulation

    This capability retrieves the complete configuration and details for a specific Gatling simulation.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Gatling.

  1. 08

    List pools

    This capability lists the load generator pools available in your Gatling Enterprise environment. Use it to check regional capacity and instance counts.

  2. 09

    List teams

    This capability pulls a list of all teams registered within Gatling Enterprise.

  3. 10

    Start simulation

    This capability triggers a new simulation run on the Gatling Enterprise infrastructure. It returns a unique run ID once the test starts.

Real work

What teams actually run

01

Automated Load Triggering

A developer asks their agent to start a specific stress test after a new deployment.

02

Resource Management

An SRE checks the available load generator pools to ensure there is enough capacity for a scheduled test.

03

Rapid Debugging

A QA engineer pulls error counts and response times immediately after a simulation finishes.

04

Quota Monitoring

An Ops manager checks how many credits a specific team has left in Gatling Enterprise.

Automate a task

Put Gatling to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Gatling works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Gatling to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

941ms average. Fast in production.

Gatling is checked daily against the live service.

Daily averagePeak 1121ms
Oct 3Today
Fastest day
757ms
Slowest day
1121ms
14-day trend
Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Gatling, so you can see the experience inside your AI.

It does not authenticate your account with Gatling. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Gatling Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Gatling capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gatling-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Gatling in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Gatling owners hand off.

This MCP is built for engineering teams that need to run high-scale load simulations without leaving their coding environment.

  • 01

    Performance Engineers

    They use the agent to trigger tests and pull results without manual dashboard navigation.

  • 02

    SRE and DevOps

    They use the agent to audit team quotas and verify the capacity of load generator pools.

  • 03

    Developers

    They use the agent to test performance configurations and check request stats in real-time.

FAQ

Questions Gatling owners ask.

  • 01

    How do I connect this MCP to my Gatling account?

    You need to provide your Gatling Enterprise API Token, which you can find in your account settings under API Tokens.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I stop a test if it's taking too long?

    Yes, you can tell your agent to abort a running simulation, which stops the load generators immediately.

  • 04

    Does this MCP host the load tests?

    No, the simulations run on your Gatling Enterprise infrastructure. This MCP simply provides the interface for your agent to control that infrastructure.

  • 05

    Can I check my team's usage limits?

    Yes, you can use the agent to list teams and monitor member counts or credit quotas.

  • 06

    Can my agent start a Gatling simulation run via chat?

    Yes. Use the 'start_simulation' capability 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.

  • 07

    How do I check the request statistics for a completed test run via chat?

    Use the 'get_run' capability. Provide the Run ID. Your agent will fetch the full details of the execution, including request stats, error counts, and the virtual user peak reached during the test.

  • 08

    Can I see my credit quotas and team member counts through the agent?

    Absolutely. Use the 'list_teams' capability. Your agent will enumerate the teams registered in your Gatling Enterprise account and monitor their member counts and available credit quotas natively.

Explore

More in Developer Tools

Suggestions

Connect Gatling to Claude, Cursor, ChatGPT & more