How to Use the iLEVEL (S&P Global) MCP in OpenAI Agents SDK

Connect iLEVEL (S&P Global) to your OpenAI Agents SDK workflow for automated portfolio data management.

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Connect iLEVEL (S&P Global) MCP to OpenAI Agents SDK

Create your Vinkius account to connect iLEVEL (S&P Global) 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 iLEVEL (S&P Global) with OpenAI Agents SDK

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Automated investment data retrieval

Your agent pulls specific asset details directly from iLEVEL using `get_investment`. This eliminates manual lookups in your dashboard. Everything is validated by your agent guardrails before execution. You get full visibility into every call via the OpenAI dashboard.

Portfolio and fund indexing for OpenAI Agents SDK

Sync your entire fund structure by calling `list_portfolios` and `list_funds`. The server handles the connection while your agent processes the results. This MCP Server keeps your agent's context window clean. Only pull the specific data objects you need for your current task.

System health and version verification

Check the status of your connection before running long pipelines using `get_status`. It prevents agent stalls during production runs. Use `get_version` to ensure your agent is hitting the correct API schema. This avoids unexpected response formats during deployment.

Setup guide

Set up iLEVEL (S&P Global) 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 iLEVEL (S&P Global) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives iLEVEL (S&P Global) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate iLEVEL (S&P Global) 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="iLEVEL (S&P Global) Agent",
            instructions="You have access to iLEVEL (S&P Global) 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 iLEVEL (S&P Global) MCP in OpenAI Agents SDK

Vinkius handles the endpoint authentication. You just provide the token, and the connection remains ephemeral and isolated.

Yes, you call the tools whenever your agent needs fresh data. It fetches current records directly from the source.

The server returns an error. You should implement a simple backoff pattern in your agent logic to handle rate-limited responses.

The tools return the raw lists. You can instruct your agent to filter the output programmatically based on your specific criteria.

No. The server acts as a pass-through for your requests. It does not persist your sensitive financial data.

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