How to Use the Adafruit IO MCP in Google ADK

Q: Will Google ADK see all my Adafruit IO tools?

Yes, but you can filter them. Just pass a toolnames list to the toolset if you want to restrict the agent to only specific operations.

Q: Can my Google ADK agent analyze history from Adafruit IO?

Absolutely. You can use the listdata tool to pull historical telemetry into the Gemini context window for pattern matching.

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Connect Adafruit IO MCP to Google ADK

Create your Vinkius account to connect Adafruit IO to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Adafruit IO with Google ADK

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Google ADK agents reading live sensor feeds

Your agent uses `list_feeds` to discover what hardware is reporting and `get_feed` to pull specific details. It brings your telemetry into the massive context window of Gemini. This setup allows for deep analysis of hardware trends over time. Your agent correlates sensor history with your BigQuery datasets without breaking a sweat.

Managing complex hardware groups via Google ADK

Use `list_groups` to see how your devices are organized and `get_group` to drill down into specific sets. It simplifies how your agent categorizes incoming data points. Your agent maintains a clear internal map of your infrastructure. This makes it easy to route specific analysis tasks based on the group metadata it retrieves.

Executing hardware logic through Google ADK

Your agent checks the state of your systems by calling `list_triggers`. It parses the trigger conditions to decide if a change in your environment requires a response. By keeping the MCP server connected, your agent stays updated on every environment shift. It acts on the data immediately, ensuring your hardware logic remains responsive.

Setup guide

Set up Adafruit IO 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 Adafruit IO 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="Adafruit IO_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Adafruit IO tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Adafruit IO MCP in Google ADK

You initialize an McpToolset with your server URL and add it to your LlmAgent. It connects via HTTP or Stdio depending on your cloud architecture.

Yes, but you can filter them. Just pass a tool_names list to the toolset if you want to restrict the agent to only specific operations.

Vinkius handles the connection through a secure endpoint token. Your agent only sees the specific data points it explicitly asks for during a tool call.

Absolutely. You can use the `list_data` tool to pull historical telemetry into the Gemini context window for pattern matching.

We use a hardened sandbox to isolate your credentials. The server acts as a proxy, ensuring your private data isn't exposed to the broader cloud environment.

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