How to Use the Abacus AI (Enterprise AI Cloud) MCP in OpenAI Agents SDK

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Connect Abacus AI (Enterprise AI Cloud) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Abacus AI (Enterprise AI Cloud) 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 Abacus AI (Enterprise AI Cloud) with OpenAI Agents SDK

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Manage your ML lifecycle inside OpenAI Agents SDK

Start by calling `create_project` to define your workspace. You can then trigger `train_model` directly from your agent logic to kick off jobs without leaving your codebase. Keep track of your work by using `list_projects` to audit your organization. It keeps your agent aware of available resources.

Deploy real-time endpoints using this MCP Server

Turn your trained models into production APIs with `create_deployment`. Your agent handles the heavy lifting of moving assets to live endpoints. Check the state of any model anytime with `describe_model`. It returns status codes so your agent knows if the deployment succeeded.

Automate data handling in your OpenAI Agents SDK agent

Fetch metadata for your existing sources using `describe_dataset`. Your code gets the exact schema information it needs to process inputs. Generate predictions on the fly by executing `get_prediction`. It connects your agent logic to your live Abacus AI models instantly.

Setup guide

Set up Abacus AI (Enterprise AI Cloud) 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 Abacus AI (Enterprise AI Cloud) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Abacus AI (Enterprise AI Cloud) 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="Abacus AI (Enterprise AI Cloud) Agent",
            instructions="You have access to Abacus AI (Enterprise AI Cloud) 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 Abacus AI (Enterprise AI Cloud) MCP in OpenAI Agents SDK

You use the MCPServerStreamableHttp class to point your agent at the Vinkius endpoint. Wrap it in an async context manager and pass it to your Agent constructor.

Yes. The SDK automatically detects every tool provided by the server. Set cacheToolsList to true to keep your agent responsive.

The SDK includes built-in guardrails that validate every tool call. This prevents your agent from executing unauthorized actions on your ML infrastructure.

It does. Because the server integrates directly with the SDK, all tool executions show up in your OpenAI dashboard logs.

Your dataset metadata and prediction logs remain within your secure environment. We treat these records as ephemeral traffic between your agent and the Abacus API.

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