Gatling MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Gatling through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"gatling": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Gatling Agent",
instructions:
"You help users interact with Gatling " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Gatling?"
);
console.log(result.text);
}
main();
* 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
About Gatling MCP Server
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Gatling tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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
The Gatling MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Gatling to Mastra AI via MCP
Follow these steps to integrate the Gatling MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Gatling via MCP
Why Use Mastra AI with the Gatling MCP Server
Mastra AI provides unique advantages when paired with Gatling through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gatling without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Gatling tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Gatling + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Gatling MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Gatling, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Gatling as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Gatling on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Gatling tools alongside other MCP servers
Gatling MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Gatling to Mastra AI via MCP:
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
Example Prompts for Gatling in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Gatling immediately.
"List all simulations on Gatling Enterprise"
"Start simulation 'abc-123'"
"Show me the stats for run 'run_xyz789'"
Troubleshooting Gatling MCP Server with Mastra AI
Common issues when connecting Gatling to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGatling + Mastra AI FAQ
Common questions about integrating Gatling MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Gatling with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gatling to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.