How to Use the Column MCP in OpenAI Agents SDK

Q: Does the Column integration with OpenAI Agents SDK support compliance screening?

Yes. The columncreateentity tool routes KYC targets through the necessary compliance checks during the registration process.

Q: Can I use Column to issue paper checks from my OpenAI Agents SDK agent?

You call columncreatecheck to trigger physical mailings. It is useful for legacy vendor payments that require paper documentation.

Directly manage your bank ledger from the OpenAI Agents SDK using the Column MCP Server.

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Connect Column MCP to OpenAI Agents SDK

Create your Vinkius account to connect Column 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 Column with OpenAI Agents SDK

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Execute bank transfers via OpenAI Agents SDK

Trigger ACH and wire transfers directly from your Python agent logic. You can use `column_create_ach_transfer` or `column_create_wire_transfer` to move funds without leaving your code. Your agent handles the execution flow. It verifies the destination details before calling the tool to ensure the transaction hits the right account.

Automate account creation for your OpenAI Agents SDK

Spin up new DDA accounts on demand. Your agent calls `column_create_bank_account` to provision financial infrastructure programmatically. This bypasses manual dashboard entry. You define the account setup requirements, and the agent performs the registration through the established connection.

Track financial records in OpenAI Agents SDK

Pull transaction history and balance data into your agent's memory. Use `column_list_transfers` or `column_get_balance` to audit current funds. These tools provide the raw data your agent needs for reporting. It processes the output internally to maintain an accurate view of your bank state.

Setup guide

Set up Column 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 Column tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object with your endpoint URL and pass it to the agent constructor. This connects the server directly to your agent's tool registry.

Yes. The `column_create_entity` tool routes KYC targets through the necessary compliance checks during the registration process.

You call `column_create_check` to trigger physical mailings. It is useful for legacy vendor payments that require paper documentation.

The SDK provides built-in tracing and guardrails. It validates the output of every tool execution, stopping the process if the server returns an unexpected state.

All banking records and credentials stay within your secure environment. The server uses ephemeral transport, ensuring your sensitive account numbers and DDA details are never cached by the AI client.

Use it with your favorite AI tools

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