How to Use the Particle IoT MCP in Google ADK

Q: How does Particle IoT scale within Google ADK?

You can filter tools using the toolnames parameter to restrict what your agents can do. This keeps your fleet management secure and organized.

Integrate Particle IoT into your Google ADK pipelines for enterprise-grade hardware orchestration across your cloud infrastructure.

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Connect Particle IoT MCP to Google ADK

Create your Vinkius account to connect Particle IoT to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Particle IoT with Google ADK

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Enterprise hardware logic for Google ADK

Execute remote firmware routines with `call_function` within your Google ADK agent framework. This enables complex automation triggered by your cloud events. Since the agent runs on Google Cloud infrastructure, it maintains a direct line to your devices. You get immediate feedback codes for every triggered action.

Sensor data ingestion for Google ADK

Pull live metrics into your Gemini-powered agents using `read_variable`. It provides the grounded data needed for long-context reasoning tasks. This is ideal for processing high-volume sensor feeds. You can verify device health with `get_device_info` to ensure your data source is reliable.

Broadcasting events with MCP Server

Push system updates to your hardware fleet by using `publish_event`. It broadcasts messages to all subscribed listeners across your environment. This moves data from your cloud workflows back to the edge. It acts as a bridge for logging custom alerts or triggering external webhook integrations.

Setup guide

Set up Particle IoT MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Particle IoT tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Particle IoT_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Particle IoT tools via MCP.",
    tools=mcp_tools,
)

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