Gatling MCP Connector for Claude
A+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.
Connect your Gatling Enterprise account to any AI agent and take full control of your performance testing and high-scale load simulation through natural conversation.
What you can do
- Simulation Orchestration — List all Gatling simulations defining load scenarios and retrieve IDs, class names, and team associations natively
- Live Test Execution — Trigger new performance test runs on Gatling Enterprise infrastructure and retrieve unique run IDs flawlessly
- Test Run Monitoring — Track execution progress, statuses, and peak virtual user (VU) counts for ongoing or completed simulations synchronously
- Detailed Stats Retrieval — Access full run details including request statistics, error counts, and injection start/end times limitlessly
- Team & Quota Oversight — Enumerate teams registered in Gatling Enterprise and monitor member counts and credit quotas securely
- Artifact Management — List uploaded test packages and artifacts to verify versions and upload timestamps across your environment
- Resource Pool Auditing — Retrieve the list of load generator pools, identifying regions and instance counts to verify scaling capacity
- Autonomous Aborting — Stop all load generators for a running simulation immediately to manage system resources and prevent overruns
How it works
- Subscribe to this server
- Enter your Gatling Enterprise API Token (found in Settings > API Tokens)
- Start managing your load testing from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Performance & QA Engineers — trigger load tests and monitor simulation results without manual dashboard checks
- SRE & DevOps Teams — audit team quotas and verify load generator pool capacity using natural language
- Developers — test and debug performance scenario configurations and verify request stats in real-time
- Ops Managers — monitor virtual user peaks and credit consumption through the chat interface
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