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How to Use the ESPHome MCP in Google ADK

Connect Google ADK to your IoT devices. Build agent workflows that span from your cloud data to your physical office hardware.

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Google ADK

Connect ESPHome MCP to Google ADK

Create your Vinkius account to connect ESPHome 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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Google ADK integration for IoT

Bridge your Google Cloud infrastructure with your local hardware. Use the McpToolset to expose your devices to Gemini agents. This makes it easy to run `cover_action` or `alarm_action` as part of a larger enterprise automation flow. Your agent treats your sensors like any other service.

State-driven logic for Google ADK agents

Your agent queries the current status of any entity using `get_entity_state`. It reads the raw output and adjusts its plan based on the returned values. This is useful when your agent needs to decide whether to trigger a `fan_action`. It checks the sensor first, then acts.

Granular device adjustments

Set specific values for your hardware using `number_set` or `select_option`. These tools provide the precision needed for industrial or office IoT setups. Google ADK simplifies the execution of these commands. You just pass the parameters, and the server manages the underlying REST calls to your ESPHome node.

Setup guide

Set up ESPHome 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. 1

    Install Google ADK

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

  2. 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. 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. 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 ESPHome 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="ESPHome_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ESPHome tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ESPHome. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ESPHome MCP in Google ADK

You initialize a McpToolset with your server URL and pass it to your LlmAgent. The framework then exposes all 10 tools to your Gemini models.
They can. Using the `switch_action` tool, your agent sends a command to your hardware. This works for any switch entity defined in your YAML.
It does. You can use a tool_names filter to restrict which actions your agent is allowed to perform, ensuring only authorized tools are available to the model.
The `get_metrics` tool returns Prometheus-style data. Your agent can interpret this data to monitor hardware performance within your Google Cloud ecosystem.
The data remains within your agent's context. Your sensor state is accessed via the local API and is not logged by the Vinkius platform.

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