Gatling Connector for AI agents.

Q: Can my agent start a Gatling simulation run via chat?

Yes. Use the 'startsimulation' 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.

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

Use the 'getrun' tool. 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.

10 live capabilities

Run and monitor high-scale load tests on Gatling Enterprise infrastructure.

Live agent request Gatling / Connector

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AI Agent

Why people use Gatling

Gatling for Automated Load Test Execution

This Connector changes that by putting those controls into your chat. You can ask your agent to start a run, monitor the progress, and pull the final stats in one go. You get a clear summary of your performance results without ever touching a dashboard.

What Vinkius changes

You get a voice-controlled interface for your entire performance testing suite.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

Real-world use case 01

Quickly checking API stress limits

A developer asks their agent to start a specific stress test and report back the peak virtual user count to see if the new endpoint holds up.
Real-world use case 02

Auditing team credit usage

An SRE notices a spike in costs and asks the agent to list all teams and their current quotas to identify who is using the most resources.
Real-world use case 03

Verifying test package deployment

A QA engineer needs to confirm the latest test script is live.

Complete set · 10capabilities

The complete Gatling capability set.

These are the exact actions your AI can choose when you ask it to work with Gatling.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Gatling.

01 Capability
Abort simulation
Stop a running test immediately to save on resources or costs. This is your emergency brake for runaway tests.
02 Capability
List runs
View the history of all previous runs for a specific simulation. Use this to find past data for comparison.
03 Capability
Get run
Get a full breakdown of a specific test run's performance data. Use it to see request stats and error counts.
04 Capability
List packages
Check the versions and timestamps of all uploaded test artifacts. Use this to verify that your latest code is live.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Gatling.

05 Capability
List tokens
Check the API tokens currently active on your Gatling Enterprise account. This helps with security and access management.
06 Capability
List simulations
See all available load scenarios and their associated team info. This helps you find the right test to run quickly.
07 Capability
Get simulation
Pull every detail for a specific performance test definition. Use this to check configuration details before starting.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Gatling.

08 Capability
Start simulation
Launch a new test run and get back a unique run ID. It makes triggering tests a one-step command.
09 Capability
List teams
See all teams registered within your Gatling Enterprise environment. This is useful for managing large organizations.
10 Capability
List pools
See the load generator pools available to you and their regional counts. It helps you verify scaling capacity.

Set up in minutes

One URL. Then ask Gatling to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Gatling from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Gatling, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Gatling for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Gatling URL.
Step 03

Save and start

Save the connection and enable Gatling in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "gatling": {
      "url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Gatling

Open Agent mode in chat and ask: "Using Gatling, help me...". 10 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "gatling": {
      "url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Gatling

Ask Copilot: "Using Gatling, help me...". 10 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "gatling": {
      "url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Gatling

Open Cascade and ask: "Using Gatling, help me...". 10 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "gatling": {
      "url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Gatling

Ask Cline: "Using Gatling, help me...". 10 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add gatling --transport http "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Gatling

Ask Claude: "Using Gatling, show me...". 10 tools are ready

Where the request belongs

Work Gatling can move forward.

Built around the request

This is for the performance engineer who's tired of digging through nested menus to find a single run ID or the SRE who needs to kill a runaway test at 3 AM without logging into a full console.

Performance Engineer

Triggers specific load scenarios and checks error rates during a sprint.

SRE

Monitors generator pool capacity and manages team quotas across different regions.

DevOps Engineer

Verifies test packages and manages API tokens for CI/CD pipelines.

QA Lead

Tracks virtual user peaks to ensure system stability before a major release.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 10 capabilities

BlazeMeter

Automate continuous performance testing via BlazeMeter. manage workspaces, trigger load tests, and analyze active run metrics securely via AI.

View Connector

02 10 capabilities

LoadNinja (Real-Browser Load Testing)

Manage performance tests via LoadNinja. trigger load scenarios, monitor metrics, and audit virtual user (VU) limits.

View Connector

03 10 capabilities

Grafana k6 Cloud (Load Testing)

Manage load tests via k6 Cloud. run tests, monitor performance metrics, and audit thresholds.

View Connector

04 10 capabilities

Katalon TestOps (AI Test Management)

Manage test orchestration via Katalon TestOps. rerun test runs, monitor execution results, and audit software releases.

View Connector

05 10 capabilities

Mabl (AI-Powered Test Automation)

Manage E2E testing via Mabl. trigger test plans, monitor execution results, and perform AI-driven failure analysis.

View Connector

06 7 capabilities

Assertible

Automate API testing and monitoring via Assertible. trigger deployments, run service tests, and sync specifications directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Gatling connected.

Claude
ChatGPT
Gemini
Cursor
VS Code
Windsurf
ZCode
Cline
Zed
Continue
Kiro
Roo Code
Zencoder
Goose
Void
Augment Code
Amp
Qodo
Tabnine
Pieces
Sourcegraph Cody
JetBrains
Warp
Amazon Q
Antigravity
BoltAI
Raycast
Jan
LM Studio
AnythingLLM
Open WebUI
Msty
Cherry Studio
LibreChat
TypingMind
Chorus
5ire
n8n
LangChain
LlamaIndex
CrewAI
Vercel AI SDK

Before you connect

Questions about Gatling.

The practical details behind the request, access and result.

What can I do with the Gatling MCP?

You can manage your Gatling Enterprise account using natural language. This includes starting load tests, monitoring live progress, viewing performance stats, and auditing your generator pools.

Does the Gatling MCP work with my existing simulations?

Yes, it connects directly to your Gatling Enterprise account. It allows your AI agent to see and interact with all the simulations you've already defined.

Can I use the Gatling MCP to stop a test that's running too long?

Absolutely. You can tell your agent to stop a simulation immediately, which will abort the run and help you manage your resource usage and costs.

How do I see my team's credit limits with the Gatling MCP?

You can simply ask your agent to check your team quotas. It will pull the latest data from Gatling Enterprise so you can see how many credits are left.

Is the Gatling MCP good for SREs?

It's great for SREs because it simplifies infrastructure auditing. You can quickly check generator pool capacity and regional instance counts without logging into a separate console.

Can the Gatling MCP show me request stats?

Yes, it can pull full run details including request statistics, error counts, and injection times, giving you a clear picture of your test results.

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.

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.

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.

One connection away

Give your agent a direct line to Gatling.

Connect Gatling once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

Gatling for Automated Load Test Execution

You get a voice-controlled interface for your entire performance testing suite.

Quickly checking API stress limits

Auditing team credit usage

Verifying test package deployment

Abort simulation

List runs

Get run

List packages

List tokens

List simulations

Get simulation

Start simulation

List teams

List pools

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using Gatling

Create MCP config

Add the server config

Enable Agent mode

Start using Gatling

Open MCP Settings

Add the server

Save and reload

Start using Gatling

Open Cline MCP Settings

Add remote server

Enable the server

Start using Gatling

Install Claude Code

Add the Connector

Verify the connection

Start using Gatling

Performance Engineer

SRE

DevOps Engineer

QA Lead

BlazeMeter

LoadNinja (Real-Browser Load Testing)

Grafana k6 Cloud (Load Testing)

Katalon TestOps (AI Test Management)

Mabl (AI-Powered Test Automation)

Assertible

Give your agent a direct line to Gatling.