How to Use the Corrently Energy MCP in Google ADK

Q: How do I restrict tool access in Google ADK for Corrently Energy?

You can use the toolnames filter when initializing the McpToolset. This allows you to expose only the specific energy functions your agent needs.

Integrate Google ADK with Corrently Energy. Build agents that act on enterprise energy data and grid forecasts in real-time.

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Connect Corrently Energy MCP to Google ADK

Create your Vinkius account to connect Corrently Energy 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 Corrently Energy with Google ADK

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Automate energy dispatch logic

Use `get_dispatch` to feed renewable energy data into your Google ADK pipeline. This gives your agents visibility into how much wind or solar hits the grid. Connect this directly to your BigQuery data. You can now compare grid feed-in stats with your internal consumption patterns to optimize your entire infrastructure.

Forecast solar production

Run `get_solar_prediction` to get accurate output forecasts for any PV system. Your agent uses these numbers to decide when to store power or shift loads. It takes the guesswork out of renewable planning. By providing the kWp capacity, your agent receives a tailored generation outlook for the next several hours.

Smart hybrid vehicle management

The `get_phev_charge_or_fuel` tool provides the logic your agent needs to tell users when to charge. It checks local energy prices and availability automatically. This saves money by making the right choice between electricity and fuel. Your agent acts as a smart advisor, processing local market conditions for the user.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Corrently Energy. 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 Corrently Energy MCP in Google ADK

You can use the tool_names filter when initializing the McpToolset. This allows you to expose only the specific energy functions your agent needs.

Yes. Since the server uses standard HTTP transport, it integrates perfectly with your Google Cloud infrastructure. Your agents can act on data from anywhere.

You can. Your agent reads the energy data and then executes the necessary write operations to your database. It creates a complete loop from insight to action.

Vinkius handles the connection. You just provide the endpoint token, and the server manages the rest, keeping your credentials out of your application code.

The server only uses the 5-digit German zip code to fetch regional energy data. It does not track your exact address, ensuring your physical location remains private.

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