How do I get my API credentials?

Register a developer account at mydevices.com and create a new application in the developer portal to get your Client ID and Secret.

Does this work with Cayenne LPP?

Yes, as long as the data is correctly indexed in the Cayenne dashboard, this server can retrieve it via the REST API.

myDevices MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: myDevices
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add myDevices as an MCP tool provider through the 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="mydevices_agent",
    instruction=(
        "You help users interact with myDevices "
        "using 8 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 myDevices MCP Server

Connect your myDevices Cayenne account to empower your AI agents with IoT capabilities. This server allows for real-time monitoring and control of connected sensors and actuators.

Google ADK natively supports myDevices as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Device Visibility — List and inspect all connected IoT devices and their metadata
Telemetry Monitoring — Access real-time sensor data and historical telemetry records
Remote Control — Send commands to actuators and control hardware programmatically
Alert Management — Monitor and track IoT system alerts and notifications

The myDevices MCP Server exposes 8 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 myDevices to Google ADK via MCP

Follow these steps to integrate the myDevices 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 8 tools from myDevices via MCP

Why Use Google ADK with the myDevices MCP Server

Google ADK provides unique advantages when paired with myDevices 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 myDevices

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 myDevices tools with BigQuery, Vertex AI, and Cloud Functions

myDevices + Google ADK Use Cases

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

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

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

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

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

myDevices MCP Tools for Google ADK (8)

These 8 tools become available when you connect myDevices to Google ADK via MCP:

get_device

Get device details

get_sensor_data

Get current sensor value

get_sensor_history

Get historical sensor data

list_alerts

List IoT alerts

list_applications

List all applications

list_devices

List all IoT devices

list_sensors

List sensors for a device

send_command

Send command to device

Example Prompts for myDevices in Google ADK

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

"List all my connected IoT devices."

"What is the current temperature reading from 'Sensor #1'?"

Troubleshooting myDevices MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

myDevices + Google ADK FAQ

Common questions about integrating myDevices 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.