How to Use the AEGIS Hedging MCP in OpenAI Agents SDK

Q: How do I connect AEGIS Hedging to the OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the mcpservers array in your Agent constructor.

Build production Python agents that manage energy risk data using AEGIS Hedging and the OpenAI Agents SDK.

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Connect AEGIS Hedging MCP to OpenAI Agents SDK

Create your Vinkius account to connect AEGIS Hedging 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 AEGIS Hedging with OpenAI Agents SDK

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Connect OpenAI Agents SDK to Energy Markets

Your deployed agents need real-time market context before executing risk management strategies. By wiring this MCP Server into your OpenAI setup, your system pulls live energy forward curves directly from AEGIS. You just pass the server to your Agent constructor. From there, the `get_forward_curves` tool feeds market data into your agent's context window. Built-in guardrails validate the request before it even hits the AEGIS API, ensuring your system stays within defined safety constraints.

Run MTM Valuations Safely

Getting real-time mark-to-market valuations usually requires custom polling logic. Now your specialized finance agent can fetch these numbers autonomously using the `get_valuations` tool. If a valuation breaches a specific threshold, your primary agent can trigger a handoff to a designated risk-alert agent. You track the entire execution chain through the OpenAI dashboard, seeing exactly when the MCP tool was called and what data came back.

Audit Energy Hedges Automatically

Production systems require strict oversight of active positions. You can set up an agent to pull current hedge records using the `list_trades` tool and cross-reference them against internal databases. Setup takes minutes with `MCPServerStreamableHttp`. You just point it at the Vinkius endpoint and set `cacheToolsList=True` to speed up initialization. The agent auto-discovers the `check_api_version` tool to confirm connectivity before running the main audit loop.

Setup guide

Set up AEGIS Hedging 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 AEGIS Hedging tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AEGIS Hedging. 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.

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Common questions about AEGIS Hedging MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your Vinkius URL and pass it to the `mcp_servers` array in your Agent constructor.

No. This server provides read-only access to market data and existing positions. Tools like `list_trades` and `get_valuations` pull data for analysis, but they do not execute new trades.

Yes. Every time your agent calls an MCP tool to fetch forward curves or valuations, the request and response appear in your OpenAI dashboard tracing logs.

Custom integrations require manual routing and error handling. This MCP server exposes tools natively to your agent, letting OpenAI's built-in guardrails validate parameters before hitting the AEGIS endpoints.

Your active energy hedge positions and MTM valuations stay protected. Vinkius runs the server in an ephemeral V8 Isolate sandbox, meaning no financial data persists in memory after the session ends.

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