How to Use the Dotloop MCP in OpenAI Agents SDK

Connect Dotloop to your OpenAI Agents SDK workflow for automated transaction management and real-time loop oversight.

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Connect Dotloop MCP to OpenAI Agents SDK

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

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Automate loop participant management

Your agent handles the heavy lifting of adding new stakeholders to any transaction. It uses `add_loop_participant` to inject the correct contact info directly into your active files. Stop wasting time on manual entry. Your agent ensures every person is linked to the right record without you touching the keyboard.

Monitor transaction activity with Dotloop

Keep a constant eye on changes by pulling the activity log for any specific loop. Your OpenAI agent calls `get_loop_activity` to summarize progress for your team. This visibility prevents bottlenecks in your closing process. You get the exact history of every action taken within the transaction.

Execute Dotloop tasks via your agent

Use `list_loop_tasks` to pull active checklists for any transaction. Your agent will track what needs completion and report back on outstanding items immediately. This keeps your team focused on critical closing deadlines. Your agent manages the queue while you handle the client relationships.

Setup guide

Set up Dotloop 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 Dotloop tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dotloop 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="Dotloop Agent",
            instructions="You have access to Dotloop tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dotloop. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Dotloop MCP in OpenAI Agents SDK

Install the MCP server and pass it to your Agent constructor. The OpenAI Agents SDK auto-discovers your tools, letting you call them as standard python functions.

Yes, it manages high-frequency requests. OpenAI Agents SDK handles the connection, while the MCP server processes your calls to `list_loops` efficiently.

Vinkius handles your authentication via a single endpoint token. Your agent never sees your raw login credentials, ensuring your data stays locked down.

The SDK provides full tracing via the dashboard. You can inspect the exact tool call and the error response from Dotloop to debug the issue instantly.

The server treats your transaction data as ephemeral. Every request for `list_profile_contacts` is isolated within the Vinkius sandbox, keeping your private contact list away from unauthorized logs.

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