How to Use the Corrently Regional Green Index MCP in OpenAI Agents SDK

Get real-time grid cleanliness forecasts directly into your OpenAI Agents SDK production pipelines.

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Connect Corrently Regional Green Index MCP to OpenAI Agents SDK

Create your Vinkius account to connect Corrently Regional Green Index 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.

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Setup Corrently Regional Green Index with OpenAI Agents SDK

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Fetch live energy market pricing

Your agent pulls current energy market costs using `get_energy_market_data`. This gives your production system immediate access to spot prices without manual lookups. Python code handles the request through the OpenAI Agents SDK, ensuring the data hits your logic layer instantly. You'll avoid stale pricing data that ruins cost-projection models.

Sync grid status with OpenAI Agents SDK

The `get_regional_green_index` tool identifies the cleanest time to run compute-heavy tasks. You feed this forecast back into your agent loop to schedule jobs when the grid is actually green. This MCP Server provides the raw index numbers required for your agent's decision engine. It keeps your environmental impact tracking precise.

Validate energy data in agent flows

Every call to `get_energy_market_data` passes through the SDK guardrails you have already defined. Your agent checks the output format before executing any downstream logic. This setup prevents bad price data from triggering incorrect agent actions. You get a clean, traceable flow from grid status to final output.

Setup guide

Set up Corrently Regional Green Index 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 Corrently Regional Green Index tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Corrently Regional Green Index tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Corrently Regional Green Index 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="Corrently Regional Green Index Agent",
            instructions="You have access to Corrently Regional Green Index tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Corrently Regional Green Index MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object pointing to the Vinkius endpoint. Pass this server instance into your Agent constructor's mcp_servers list to expose the tools.

Yes, you should set cacheToolsList=True in your agent configuration. This keeps your performance high by avoiding repeated network round-trips for the same tool definitions.

The server accepts ZIP code arguments for the green index tool. Your agent passes the local ZIP code to the tool, and it returns the specific regional forecast.

The server supports the async context manager pattern native to Python. Use the async with syntax to manage your connection safely during agent execution.

This server only consumes ZIP code strings to look up public grid data. No personal identifiers or user history leave your OpenAI Agents SDK environment.

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