How to Use the Brokermint MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK pull Brokermint transaction history?

Yes. Your agent runs listtransactions to fetch your complete deal history. It then parses the JSON output to generate summaries for your team.

Sync your real estate back-office with OpenAI Agents SDK. Manage transactions and commission data without leaving your Python environment.

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Connect Brokermint MCP to OpenAI Agents SDK

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

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Automate Brokermint data in OpenAI Agents SDK

Your agent handles Brokermint records directly through `create_transaction` and `update_transaction`. It pushes updates to your back-office pipeline as soon as your code triggers the logic. You stop manually entering deal data. The agent validates every change before the API hits your production account.

Lookup client details using this MCP server

Call `get_contact` or `list_contacts` to pull buyer and seller information into your agent's memory. It organizes the data for your follow-up workflows. Everything stays within your Python context. Your agent processes the list and flags missing documents automatically.

Track commission structures with OpenAI Agents SDK

Use `list_commissions` to audit deal payouts in real-time. The tool pulls exact figures directly from your account ledger. Your agent cross-references these numbers against your internal targets. It alerts you if a payout doesn't match the expected transaction value.

Setup guide

Set up Brokermint 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 Brokermint tools at runtime.
3

Create your Agent

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

Run the agent

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

You initialize the server via the MCPServerStreamableHttp class. Pass the endpoint into your agent constructor to let the SDK auto-discover all available tools.

Yes. Your agent runs `list_transactions` to fetch your complete deal history. It then parses the JSON output to generate summaries for your team.

It manages them perfectly. You use the provided tools to fetch or create records, ensuring your CRM data reflects the latest deal status.

Your agent uses Vinkius-managed tokens to secure every request. The data stays inside your isolated environment, preventing unauthorized access to your records.

We keep your contact names and phone numbers encrypted in transit. The Vinkius infrastructure ensures no third party sees your specific real estate records.

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