ENTSO-E MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ENTSO-E through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ENTSO-E "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in ENTSO-E?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ENTSO-E MCP Server
Connect your ENTSO-E Transparency Platform API to any AI agent and take full control of European electricity market data, generation forecasts, pricing analysis, and grid monitoring through natural conversation.
Pydantic AI validates every ENTSO-E tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Day-Ahead Generation — Get generation forecasts by energy source (nuclear, fossil, renewable) for any bidding zone
- Actual Generation — Retrieve historical generation data broken down by energy source
- Load Forecasts — Access day-ahead and actual electricity consumption data
- Market Prices — Get day-ahead electricity market clearing prices (EUR/MWh)
- Crossborder Flows — Monitor scheduled electricity imports and exports between zones
- Generation Outages — Track planned and unplanned power plant outages
- Transmission Outages — Monitor grid maintenance and line outages
- Installed Capacity — Track installed generation capacity by energy source
- Balancing Prices — Access upward and downward regulation prices
- Wind & Solar Forecasts — Get renewable energy generation forecasts
The ENTSO-E MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ENTSO-E to Pydantic AI via MCP
Follow these steps to integrate the ENTSO-E MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from ENTSO-E with type-safe schemas
Why Use Pydantic AI with the ENTSO-E MCP Server
Pydantic AI provides unique advantages when paired with ENTSO-E through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ENTSO-E integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ENTSO-E connection logic from agent behavior for testable, maintainable code
ENTSO-E + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ENTSO-E MCP Server delivers measurable value.
Type-safe data pipelines: query ENTSO-E with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ENTSO-E tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ENTSO-E and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ENTSO-E responses and write comprehensive agent tests
ENTSO-E MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect ENTSO-E to Pydantic AI via MCP:
get_actual_generation
) for a specific bidding zone. Essential for post-market analysis, renewable energy performance tracking, and grid balance analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get actual electricity generation data by energy source for a European bidding zone
get_actual_load
Essential for demand analysis, peak demand identification, and load forecasting validation. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get actual electricity load data for a European bidding zone
get_balancing_prices
Essential for imbalance cost analysis, balancing market participation, and grid stability assessment. Area codes are ENTSO-E control area identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get balancing market prices for a control area
get_crossborder_flows
Essential for interconnection analysis, cross-border trading, and grid congestion assessment. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get scheduled cross-border electricity flows for a bidding zone
get_day_ahead_generation
) for a specific European bidding zone. Data is provided in MW per time period (typically hourly). Essential for energy trading, grid planning, and renewable energy integration analysis. Area codes are ENTSO-E bidding zone identifiers (e.g., "10YDE-RWENET---I" for Germany, "10YFR-RTE------C" for France). Date format: YYYYMMDDHHmm in UTC. Returns XML data from the Transparency Platform. Get day-ahead electricity generation forecasts for a European bidding zone
get_day_ahead_load
Essential for energy trading, demand response planning, and grid balancing. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get day-ahead electricity load forecasts for a European bidding zone
get_day_ahead_prices
Essential for energy trading, price forecasting, and market analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get day-ahead electricity market prices for a European bidding zone
get_forecasted_generation
Essential for energy market analysis, supply-demand balancing, and grid operation planning. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get total generation and load forecasts for a bidding zone
get_generation_outages
Essential for supply security assessment, capacity planning, and market impact analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get generation outage and maintenance schedules for a bidding zone
get_installed_generation
) for a specific bidding zone. Essential for capacity adequacy analysis, energy transition tracking, and infrastructure planning. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get installed generation capacity by energy source for a bidding zone
get_transmission_outages
Essential for grid congestion analysis, capacity calculation, and market impact assessment. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get transmission network outage and maintenance schedules
get_wind_solar_forecast
Essential for renewable energy integration analysis, grid balancing, and energy trading. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get wind and solar power generation forecasts for a bidding zone
Example Prompts for ENTSO-E in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ENTSO-E immediately.
"Show me day-ahead electricity prices for Germany tomorrow."
"What is the wind and solar forecast for France today?"
"Show me generation outages in Germany this week."
Troubleshooting ENTSO-E MCP Server with Pydantic AI
Common issues when connecting ENTSO-E to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiENTSO-E + Pydantic AI FAQ
Common questions about integrating ENTSO-E MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect ENTSO-E with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ENTSO-E to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.