- CAPACITY
- BUDGET
- AUDIT
- HUMAN
Short answer
How can I check my Gatling pools and credits with AI?
Your agent uses Gatling tools to pull real-time data on available load generator pools and current team credit usage. You get a clear view of your infrastructure capacity and remaining budget through simple chat commands.
Where every insight lands.
Resource visibility outcomes
The agent organizes your Gatling data into these specific views.
CAPACITY
Pool availability status
The agent identifies which load generator pools are active and ready for use. You'll know exactly what hardware is available for your next test.
BUDGET
Team credit tracking
Your agent pulls current credit quotas for your teams. This helps you avoid running out of credits mid-test.
AUDIT
Infrastructure overview
Get a consolidated list of all your Gatling resources. It turns raw data into a readable summary of your setup.
HUMAN
Manual resource scaling
The AI provides the data, but you still handle the actual provisioning. You decide when to spin up new resources based on the agent's report.
The workflow
What your AI does when you ask for an audit.
The agent handles the data retrieval so you don't have to log into the Gatling dashboard.
Scan available pools
The agent looks through your Gatling environment to find every active load generator pool.
list_poolsCheck team limits
It pulls the specific credit quotas assigned to your different teams.
list_teamsCompare capacity to usage
The agent looks at the pool status and credit levels together to see if you have enough headroom.
list_poolslist_teamsReport findings
The agent presents a plain text summary of your infrastructure health and credit standing.
list_poolslist_teams
Try it
Copy these to start.
Use these prompts to trigger your first Gatling resource check.
Starting points
These are basic starting lines. You can add specific team names or pool IDs to get more targeted answers.
Gatling Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Gatling capabilities are ready to use.
{
"mcpServers": {
"gatling-mcp": {
"url": "https://edge.vinkius.com/vk_preview_f1mjnAhJFdhCLHf3npA2HLKXXMLgR80q7ymxxmFF/mcp"
}
}
}List all my Gatling load generator pools.
How many credits does the DevOps team have left?
Check the status of all available pools and tell me if any are full.
Give me a summary of team credit quotas for all my Gatling teams.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Gatling once, then ask.
Just link your Gatling account via Vinkius. Your credentials stay encrypted and secure, and you can immediately start asking questions in your preferred AI client.
Connect Gatling to your AIFAQ
How this task behaves
- 01
Can the AI create new load generator pools?
No. The agent can only list and read existing pool and team data.
- 02
Can the AI spend my team credits?
No. The agent only reports on how many credits are available; it cannot execute tests or consume credits.
- 03
Does the agent see my private test scripts?
No. The agent only has access to the resource and quota information provided by the tools.
- 04
Can I use this with Cursor or Claude?
Yes. Any MCP-compatible client works once you connect the Gatling MCP through Vinkius.
- 05
How often does the credit data update?
The agent pulls live data from Gatling every time you ask a question, so you see the most current numbers.
More questions about Gatling? See everything the Gatling Connector can do
Connect Gatling to Claude, Cursor, ChatGPT & more
