How to Use the Awattar MCP in Google ADK

Q: How do I configure Google ADK to read Awattar market data via MCP?

You initialize McpToolset with the streamable HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset to your LlmAgent to give Gemini instant access to getmarketdata.

Q: Can Gemini write Home Assistant configs using Awattar and Google ADK?

Yes, the agent calls getcurrentyaml to obtain the latest formatted price statistics. Google ADK then passes this structured text to Gemini, which writes or updates your Home Assistant YAML files.

Q: Does the Google ADK integration support real-time Awattar price updates?

Yes, your agent can call getmarketdata at any time to retrieve the current EPEX Spot rates. For next-day planning, trigger the agent after 14:00 CET when the new market rates are published.

Feed real-time Awattar spot prices into Google ADK to optimize grid-tied industrial and home loads using Gemini.

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Connect Awattar MCP to Google ADK

Create your Vinkius account to connect Awattar 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 Awattar with Google ADK

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Inject Awattar spot prices into Vertex AI pipelines

The `get_market_data` tool retrieves hourly EPEX Spot prices directly into your Google ADK context. Gemini models use this raw pricing data within their massive 1M+ token context window to analyze historical trends alongside tomorrow's forecast. You can combine this tool with Google Cloud databases to store every hourly rate. The agent queries the server, gets the pricing array, and updates your BigQuery tables to keep your cost-forecasting models updated in real time.

Generate home automation configs with Google ADK

The `get_current_yaml` tool provides structured YAML blocks of current aWATTar pricing statistics directly to your Gemini agent. Google ADK processes this structured text to generate ready-to-use configurations for local smart home controllers. Since Gemini handles long-context files easily, you can feed your entire home configuration file alongside the tool's YAML output. The agent updates only the relevant pricing entities without breaking your existing automation scripts.

Build enterprise energy tools with this MCP Server

This MCP Server connects your Google ADK workflows directly to European energy spot markets without custom API integration code. You expose the `get_market_data` tool to your enterprise agents by adding the server parameters to your toolset configuration. By running the server in the secure Vinkius sandbox, your Google Cloud infrastructure communicates with external energy APIs safely. You get a clean, zero-trust connection that keeps your enterprise agent pipelines secure.

Setup guide

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

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Common questions about Awattar MCP in Google ADK

You initialize `McpToolset` with the streamable HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset to your `LlmAgent` to give Gemini instant access to `get_market_data`.

Yes, the agent calls `get_current_yaml` to obtain the latest formatted price statistics. Google ADK then passes this structured text to Gemini, which writes or updates your Home Assistant YAML files.

Yes, your agent can call `get_market_data` at any time to retrieve the current EPEX Spot rates. For next-day planning, trigger the agent after 14:00 CET when the new market rates are published.

Yes, Google ADK allows you to pass an optional list of tool names to the toolset. You can restrict the agent to only use `get_market_data` if you do not want it generating YAML configurations.

This server only handles public electricity market rates and structural YAML templates. It does not access, store, or transmit your physical smart meter readings, utility account numbers, or home network credentials.

Use it with your favorite AI tools

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