ISO New England 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 ISO New England 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 ISO New England "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ISO New England?"
)
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 ISO New England MCP Server
Empower your AI agents to monitor the New England power grid with the ISO-NE Web Services API. This MCP server allows you to retrieve real-time system load, generation fuel mix, locational marginal prices (LMP), and market forecasts directly through the official ISO New England API. Ideal for energy analysis, grid monitoring, and market research.
Pydantic AI validates every ISO New England 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.
The ISO New England 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 ISO New England to Pydantic AI via MCP
Follow these steps to integrate the ISO New England 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 ISO New England with type-safe schemas
Why Use Pydantic AI with the ISO New England MCP Server
Pydantic AI provides unique advantages when paired with ISO New England 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 ISO New England integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ISO New England connection logic from agent behavior for testable, maintainable code
ISO New England + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ISO New England MCP Server delivers measurable value.
Type-safe data pipelines: query ISO New England with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ISO New England tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ISO New England and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ISO New England responses and write comprehensive agent tests
ISO New England MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ISO New England to Pydantic AI via MCP:
get_actual_interchange
g., NYISO, Hydro-Quebec). Essential for understanding net imports and exports of electricity. Retrieves actual interchange data
get_day_ahead_lmp
Useful for anticipating energy costs and market planning. Retrieves day-ahead Locational Marginal Prices (LMP)
get_fuel_mix
g., Natural Gas, Nuclear, Renewables). Use this to analyze the environmental impact and energy sources powering the grid. Retrieves real-time generation fuel mix
get_hourly_lmp
Use this for historical price analysis or when 5-minute granularity is not required. Retrieves hourly Locational Marginal Prices (LMP)
get_hourly_load
Use this for analyzing long-term consumption patterns and demand forecasting performance. Retrieves hourly load data
get_lmp
Returns prices in USD/MWh. Essential for tracking energy market volatility and cost of power at specific locations. Retrieves 5-minute Locational Marginal Prices (LMP)
get_regulation
Includes clearing prices and capacity requirements. Useful for analyzing grid stability services. Retrieves regulation requirements and clearing prices
get_reserve
Essential for auditing grid resilience capacity. Retrieves reserve requirements and clearing prices
get_seven_day_forecast
Essential for anticipating grid stress and planning energy procurement. Retrieves the seven-day load forecast
get_system_load
Returns current load in megawatts (MW). Essential for monitoring grid stress and power consumption trends. Retrieves real-time system load data
Example Prompts for ISO New England in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ISO New England immediately.
"What is the current system load in ISO New England?"
"Show me the current fuel mix for electricity generation."
"Get the latest locational marginal prices (LMP)."
Troubleshooting ISO New England MCP Server with Pydantic AI
Common issues when connecting ISO New England to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiISO New England + Pydantic AI FAQ
Common questions about integrating ISO New England 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 ISO New England 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 ISO New England to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
