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Gatling

Gatling MCP Server

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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.

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AI AgentVinkius
High Security·Kill Switch·Plug and Play
Gatling
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Gatling MCP Server?

The Gatling MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Gatling via 10 tools. 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. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

abort_simulationget_runget_simulationlist_packageslist_poolslist_runslist_simulationslist_teamslist_tokensstart_simulation

Tools for your AI Agents to operate Gatling

Ask your AI agent "List all simulations on Gatling Enterprise" and get the answer without opening a single dashboard. With 10 tools connected to real Gatling data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Gatling MCP Server capabilities

10 tools
abort_simulation

Abort a running Gatling simulation

get_run

Get full details of a Gatling run

get_simulation

Get full details of a Gatling simulation

list_packages

List uploaded packages/artifacts on Gatling Enterprise

list_pools

List load generator pools on Gatling Enterprise

list_runs

List runs for a Gatling simulation

list_simulations

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

list_teams

List teams on Gatling Enterprise

list_tokens

List API tokens on Gatling Enterprise

start_simulation

Returns run ID. Start a Gatling simulation run

What the Gatling MCP Server unlocks

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

1. Subscribe to this server
2. Enter your Gatling Enterprise API Token (found in Settings > API Tokens)
3. 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

Frequently asked questions about the Gatling MCP Server

01

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.

02

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

Use the 'get_run' 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.

03

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

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

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