AEGIS Hedging MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AEGIS Hedging through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AEGIS Hedging Assistant",
instructions=(
"You help users interact with AEGIS Hedging. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AEGIS Hedging"
)
print(result.final_output)
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 AEGIS Hedging MCP Server
Connect your AEGIS Hedging (Revenue Intelligence) account to your AI agent to orchestrate your energy risk management and trade lifecycle. From monitoring real-time Mark-to-Market (MTM) valuations to auditing trade entries and retrieving forward market curves, your agent handles complex energy data through natural conversation.
The OpenAI Agents SDK auto-discovers all 4 tools from AEGIS Hedging through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AEGIS Hedging, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Trade Lifecycle Management — List and audit trades executed on the AEGIS Marketplace and monitor their status in your system
- Valuation & MTM — Retrieve current Mark-to-Market data and settlement estimates for your hedge positions
- Market Intelligence — Access energy forward curves, historical price data, and daily market insights
- Reporting & Compliance — Retrieve normalized data for revenue, taxes, and fees to support financial forecasting and SDR reporting
- Strategic Oversight — Quickly identify portfolio risks or hedging opportunities based on current market volatility
The AEGIS Hedging MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 AEGIS Hedging to OpenAI Agents SDK via MCP
Follow these steps to integrate the AEGIS Hedging MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from AEGIS Hedging
Why Use OpenAI Agents SDK with the AEGIS Hedging MCP Server
OpenAI Agents SDK provides unique advantages when paired with AEGIS Hedging through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AEGIS Hedging + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AEGIS Hedging MCP Server delivers measurable value.
Automated workflows: build agents that query AEGIS Hedging, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AEGIS Hedging, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AEGIS Hedging tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AEGIS Hedging to resolve tickets, look up records, and update statuses without human intervention
AEGIS Hedging MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect AEGIS Hedging to OpenAI Agents SDK via MCP:
check_api_version
Check AEGIS API version
get_forward_curves
Retrieve energy forward curves
get_valuations
Get real-time MTM valuations
list_trades
List energy hedge trades
Example Prompts for AEGIS Hedging in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AEGIS Hedging immediately.
"List all energy trades executed in the last 30 days."
"Show me the current Mark-to-Market valuation for my natural gas portfolio."
"Retrieve the energy forward curves for the next 12 months."
Troubleshooting AEGIS Hedging MCP Server with OpenAI Agents SDK
Common issues when connecting AEGIS Hedging to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AEGIS Hedging + OpenAI Agents SDK FAQ
Common questions about integrating AEGIS Hedging MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AEGIS Hedging 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 AEGIS Hedging to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
