How to Use the ENTSO-E MCP in OpenAI Agents SDK

Get raw European grid data into your OpenAI Agents SDK workflows with strict, production-ready schema enforcement.

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 OpenAI Agents SDK

Create your Vinkius account to connect ENTSO-E to OpenAI Agents SDK 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 OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Monitor live demand with OpenAI Agents SDK

`get_actual_load` pulls raw XML load metrics directly from ENTSO-E bidding zones into your agent's execution context. Your OpenAI Agents SDK setup uses these values to calculate current grid stress without manual data parsing. When you need to verify if live demand matches predictions, `get_day_ahead_load` provides the baseline. The agent compares the two datasets on the fly, instantly spotting regional demand spikes that could threaten grid stability.

Automate power trading using this MCP Server

`get_day_ahead_prices` exposes wholesale energy pricing across European bidding zones to your automated trading routines. Your agent uses this endpoint to detect arbitrage opportunities between neighboring markets before trading windows close. To verify physical constraints, the agent calls `get_crossborder_flows` to see how electricity actually moves between regions. It cross-references these flows with `get_balancing_prices` to ensure your trade execution matches physical capacity.

Predict grid constraints with OpenAI Agents SDK

`get_generation_outages` retrieves active and scheduled maintenance events for European power plants directly into your agent pipeline. This MCP Server feeds these capacity drops to specialized OpenAI agents that recalculate regional supply limits. The agent then checks `get_transmission_outages` to see if grid bottlenecks will block alternative power routes. By combining these schedules with `get_installed_generation`, the SDK handles complex risk assessments without human intervention.

Setup guide

Set up ENTSO-E MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ENTSO-E tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ENTSO-E tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ENTSO-E tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ENTSO-E Agent",
            instructions="You have access to ENTSO-E tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install the OpenAI Agents SDK and initialize your connection using the Vinkius HTTP endpoint. Pass the server instance inside your agent's configuration to auto-discover all 12 power grid tools instantly.

Yes, your OpenAI agent parses the raw XML strings returned by tools like `get_actual_generation` directly. You don't need to write custom parsers because the agent extracts the specific bidding zone numbers on the fly.

Set the caching option to true in your connection parameters to avoid redundant handshakes. Your agent can then concurrently call `get_wind_solar_forecast` and `get_day_ahead_generation` to compare predicted renewable output against total expected supply.

Your agent handles rate limits by reading the error codes directly from the HTTP transport layer. You should implement backoff logic in your Python code to pause calls to high-volume endpoints.

Vinkius runs the server in an isolated sandbox, keeping your API tokens safe while your agent requests load and generation metrics. No raw grid data is stored on our servers; it passes directly to your local Python execution context.

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