How to Use the ENTSO-E MCP in Google ADK

Q: Can I save grid data retrieved by my Gemini agent directly to BigQuery?

Yes, your agent can retrieve electricity metrics using getactualload and write them to BigQuery tables using standard Google Cloud SDKs. This allows you to build a continuous archive of European grid performance.

Pipe European grid metrics directly into Gemini models via Google ADK to run long-context energy analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ENTSO-E MCP to Google ADK

Create your Vinkius account to connect ENTSO-E 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.

GDPR Free for Subscribers

Setup ENTSO-E with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Map grid demand in Google ADK

`get_actual_load` pulls real-time consumption metrics from European bidding zones into your Google ADK agent. Your Gemini model uses its massive context window to compare months of this raw XML load data against your BigQuery historical tables. To plan grid-balancing strategies, the agent queries `get_day_ahead_load` to identify upcoming peak demand hours. This MCP Server integration allows Google Cloud agents to forecast regional stress points without leaving your secure project perimeter.

Track green energy output with Google ADK

`get_wind_solar_forecast` retrieves expected renewable generation across European bidding zones for your Gemini-powered pipelines. Your Google ADK agent reads these forecasts to adjust dispatch schedules for thermal assets in real time. The agent verifies these forecasts against `get_actual_generation` to measure model accuracy over time. By combining these metrics, your enterprise agent can automatically write performance reports back to BigQuery.

Analyze cross-border flows using this MCP Server

`get_crossborder_flows` exposes scheduled electricity transfers between European bidding zones to your Gemini agent. This MCP Server lets your Google ADK workflow flag physical bottlenecks before they impact wholesale prices. The agent cross-references these flows with `get_transmission_outages` to see if line maintenance is causing the congestion. It then queries `get_day_ahead_prices` to calculate the financial impact of the grid constraints.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ENTSO-E. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ENTSO-E now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ENTSO-E MCP in Google ADK

Use the toolset class with the Vinkius HTTP server parameters in your Python script. Pass this toolset directly to your agent constructor to give Gemini instant access to all 12 power grid endpoints.

Yes, Gemini's massive context window easily handles large XML payloads returned by `get_actual_generation`. The model extracts specific bidding zone capacities without requiring pre-processing scripts.

Use the optional tool names filter when initializing your toolset to expose only what your agent needs. For instance, you can limit your trading agent to pricing tools while blocking outage tools.

Yes, your agent can retrieve electricity metrics using `get_actual_load` and write them to BigQuery tables using standard Google Cloud SDKs. This allows you to build a continuous archive of European grid performance.

The Vinkius sandbox acts as a zero-trust proxy, meaning your ENTSO-E API credentials never leak into the LLM context. Your Google Cloud environment receives only the requested generation and load XML payloads over secure HTTPS.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript