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.

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.

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.

Gatling MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Gatling
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Gatling as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="gatling_agent",
    instruction=(
        "You help users interact with Gatling "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Gatling as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Gatling MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Gatling via MCP

Why Use Google ADK with the Gatling MCP Server

Google ADK provides unique advantages when paired with Gatling through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Gatling

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Gatling tools with BigQuery, Vertex AI, and Cloud Functions

Gatling + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Gatling MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Gatling and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Gatling tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Gatling regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Gatling

Gatling MCP Tools for Google ADK (10)

These 10 tools become available when you connect Gatling to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Gatling to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Gatling + Google ADK FAQ

Common questions about integrating Gatling MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.