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Adafruit IO MCP Server for Google ADKGive Google ADK instant access to 10 tools to Get Dashboard, Get Data, Get Feed, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for Google ADK

The Adafruit IO app connector for Google ADK is a standout in the Developer Tools category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="adafruit_io_agent",
    instruction=(
        "You help users interact with Adafruit IO "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Adafruit IO
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 Adafruit IO MCP Server

Adafruit IO

The Adafruit IO MCP Server allows AI agents to interact with your IoT data seamlessly.

Google ADK natively supports Adafruit IO 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

  • Retrieve feeds and specific data points.
  • Access dashboards and groups.
  • View active triggers.

The Adafruit IO 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.

All 10 Adafruit IO tools available for Google ADK

When Google ADK connects to Adafruit IO through Vinkius, your AI agent gets direct access to every tool listed below — spanning iot, data-feeds, hardware-monitoring, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_dashboard

Get a specific dashboard

get_data

Get a specific data point

get_feed

Get a specific feed

get_group

Get a specific group

get_trigger

Get a specific trigger

list_dashboards

List all dashboards

list_data

List data for a specific feed

list_feeds

List all Adafruit IO feeds

list_groups

List all groups

list_triggers

List all triggers

Connect Adafruit IO to Google ADK via MCP

Follow these steps to wire Adafruit IO into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 10 tools from Adafruit IO via MCP

Why Use Google ADK with the Adafruit IO MCP Server

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

01

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

02

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

03

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

04

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

Adafruit IO + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Adafruit IO in Google ADK

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

01

"List all my IoT feeds."

02

"Get data from the temperature feed."

03

"Send a value of 75 to the 'humidity' feed."

Troubleshooting Adafruit IO MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Adafruit IO + Google ADK FAQ

Common questions about integrating Adafruit IO MCP Server with Google ADK.

01

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.
02

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.
03

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.