Can my agent actually start a cloud performance test orchestrating servers?

Yes. By utilizing the 'start_test' tool paired with an active Test ID, your AI agent securely pulls levers directly on BlazeMeter's cloud infrastructure to provision load generation hosts without any required GUI interaction.

How do I check the live status of an active test run (Master)?

You can instruct your agent to use the 'get_master' or 'get_report' tool. It strictly evaluates live Gateway stats, throughput rates, and p90 indicators dynamically reporting back.

Is there a way for the AI to forcefully kill a rogue load test?

Absolutely. Your agent can execute the 'stop_master' mutation—which immediately severs the test execution pipeline and protects vulnerable origin servers from unplanned stress.

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

Name: BlazeMeter
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 BlazeMeter 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

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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="blazemeter_agent",
    instruction=(
        "You help users interact with BlazeMeter "
        "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 BlazeMeter MCP Server

Connect your BlazeMeter API credentials to any AI agent and integrate enterprise load testing natively into your DevOps and QA workflows.

Google ADK natively supports BlazeMeter 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

Infrastructure Management — List thoroughly your bounded Workspaces, Projects, and structural user metadata.
Test Operations — Discover configured JMeter definitions and dynamically start active cloud-based performance hosts to execute load scaling securely.
Live Run Monitoring — Query the operational health of live "Master" runs, fetch precise throughput reports (p90/p99 KPIs), and monitor active limits.
Emergency Controls — Forcefully shut down runaway active cloud connections to protect source architecture during testing.

The BlazeMeter 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 BlazeMeter to Google ADK via MCP

Follow these steps to integrate the BlazeMeter 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 BlazeMeter via MCP

Why Use Google ADK with the BlazeMeter MCP Server

Google ADK provides unique advantages when paired with BlazeMeter 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 BlazeMeter

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 BlazeMeter tools with BigQuery, Vertex AI, and Cloud Functions

BlazeMeter + Google ADK Use Cases

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

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

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

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

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

BlazeMeter MCP Tools for Google ADK (10)

These 10 tools become available when you connect BlazeMeter to Google ADK via MCP:

get_master

Dispatch an automated validation check routing explicit Gateway run status

get_report

Inspect deep internal arrays mitigating specific Plan Math Reports

get_test

Retrieve explicit configuration tracing an active Vault limit Test

get_user

Identify precise active arrays spanning native Identity parsing

list_masters

Enumerate explicitly attached structured rules exporting active Master records

list_projects

Perform structural extraction of Projects bounded to a Workspace

list_tests

Provision a highly-available JSON Payload extracting bound Tests

list_workspaces

Identify bounded Workspace records inside the Headless BlazeMeter Platform

start_test

Irreversibly execute explicit load generation validations spanning rich metrics

stop_master

Identify precise active arrays spanning native Gateway shutdown logic

Example Prompts for BlazeMeter in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with BlazeMeter immediately.

"List the performance testing projects inside Workspace ID `123456`."

"Trigger a new execution for load Test ID `987654`."

"Stop the actively running Master test ID `m-11223` immediately."

Troubleshooting BlazeMeter MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

BlazeMeter + Google ADK FAQ

Common questions about integrating BlazeMeter 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.