Nord Pool MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Nord Pool 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 Nord Pool "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Nord Pool?"
)
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 Nord Pool MCP Server
Tap into the heartbeat of the European power market with Nord Pool — the continent's leading electricity exchange operating across 16 countries.
Pydantic AI validates every Nord Pool tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Prices — Retrieve clearing prices for any bidding zone (NO1, SE3, DK1, DE-LU, FR, NL, and more) in 15-minute Market Time Units
- Yearly Price Trends — Analyze long-term electricity price patterns and year-over-year performance for any delivery area
- Auction Volumes — Query traded volumes (MWh) per area to understand market depth and liquidity
- Transmission Capacities — Inspect Available Transmission Capacity (ATC) between interconnected bidding zones
- Cross-Border Flows — Track commercial auction flows and scheduled physical power transfers between regions
- Flow-Based Constraints — Access flow-based market coupling parameters for Core and Nordic domains
- Consumption Forecasts — Pull load forecasts that drive trading strategies and grid balancing decisions
- Subscription Validation — Verify which data products are available on your API account
The Nord Pool MCP Server exposes 10 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 Nord Pool to Pydantic AI via MCP
Follow these steps to integrate the Nord Pool 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 10 tools from Nord Pool with type-safe schemas
Why Use Pydantic AI with the Nord Pool MCP Server
Pydantic AI provides unique advantages when paired with Nord Pool 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 Nord Pool integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Nord Pool connection logic from agent behavior for testable, maintainable code
Nord Pool + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Nord Pool MCP Server delivers measurable value.
Type-safe data pipelines: query Nord Pool with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Nord Pool tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Nord Pool and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Nord Pool responses and write comprehensive agent tests
Nord Pool MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Nord Pool to Pydantic AI via MCP:
get_auction_flows
Requires both source and destination area codes. Flows reflect the scheduled energy exchange determined during the day-ahead market coupling process. Optionally filter by delivery date (YYYY-MM-DD). Retrieve auction flows between two delivery areas
get_auction_volumes
Use standard bidding zone codes separated by commas. Optionally filter by delivery date (YYYY-MM-DD). Volumes indicate the total cleared energy quantity per Market Time Unit in each area. Retrieve day-ahead auction volumes for specified delivery areas
get_consumption_forecasts
These forecasts represent the expected electricity consumption (load) for each Market Time Unit within a delivery area. Use standard bidding zone codes separated by commas. Optionally filter by delivery date (YYYY-MM-DD). Consumption forecasts are essential for production planning, trading strategy, and grid balancing decisions. Retrieve power consumption forecasts by delivery area
get_day_ahead_prices
Delivery areas are standard European bidding zone codes such as NO1, NO2, SE1, SE2, SE3, SE4, DK1, DK2, FI, EE, LV, LT, DE-LU, AT, FR, NL, BE, PL. You can pass multiple areas separated by commas. Optionally filter by a specific delivery date (YYYY-MM-DD) and currency (EUR, NOK, SEK, DKK, PLN, GBP). Prices are returned in 15-minute Market Time Units (MTU) by default since the transition to 15-min resolution in SDAC. Retrieve day-ahead auction prices for specified delivery areas
get_flow_based_constraints
Flow-based constraints define the allowable power transfer limits in flow-based market coupling regions (e.g. Core, Nordic). The domain parameter specifies which regional coupling zone to query. Optionally filter by delivery date (YYYY-MM-DD). Retrieve flow-based constraints for a market coupling domain
get_scheduled_physical_flows
These flows represent the planned physical cross-border electricity transfers, including both commercial exchanges and loop flows. Requires source and destination area codes. Optionally filter by delivery date. Retrieve scheduled physical flows between two delivery areas
get_transmission_capacities
Requires both source and destination area codes (e.g. NO1 to SE3). ATC represents the maximum commercial power transfer capacity allocated for the day-ahead market coupling. Optionally filter by delivery date (YYYY-MM-DD). Retrieve Available Transmission Capacities (ATC) between two delivery areas
get_user_subscriptions
Use this tool to verify which data products (Day-Ahead, Intraday, Power System Data, etc.) are available to the current credentials before attempting to query specific endpoints. List the active API data subscriptions for the authenticated account
get_yearly_prices
Use standard bidding zone codes (e.g. NO1, SE3, DE-LU). Optionally filter by year (YYYY) and currency. Useful for long-term price trend analysis and year-over-year comparisons. Retrieve yearly aggregated auction prices for a delivery area
get_yearly_volumes
Useful for analyzing annual energy consumption and trading patterns within a specific bidding zone. Retrieve yearly aggregated auction volumes for a delivery area
Example Prompts for Nord Pool in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Nord Pool immediately.
"What are the day-ahead electricity prices for Norway zone NO1 and Sweden zone SE3 for tomorrow?"
"Show me the cross-border transmission capacity from Denmark DK1 to Germany DE-LU for today."
"Compare the yearly electricity prices for Finland and the Baltic states for the last two years."
Troubleshooting Nord Pool MCP Server with Pydantic AI
Common issues when connecting Nord Pool to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNord Pool + Pydantic AI FAQ
Common questions about integrating Nord Pool 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 Nord Pool 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.
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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 Nord Pool to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.