How do I get an API Access Token for Dotloop?

You must register as a developer at the [**Dotloop Developer Center**](https://info.dotloop.com/developers). Once your application is approved, you can utilize OAuth 2.0 to generate an access token for your account.

Does this tool support document signing?

This MCP server is optimized for data retrieval, oversight, and management of participants/tasks. For the actual signing process, you should continue to use the Dotloop web or mobile application.

Dotloop MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Dotloop
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dotloop through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Dotloop Assistant",
            instructions=(
                "You help users interact with Dotloop. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Dotloop"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dotloop MCP Server

Connect your AI agent to Dotloop, the leading real estate transaction management platform. This integration allows you to interact with your loops, manage participants, and oversee documents and tasks directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Dotloop through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dotloop, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Loop Oversight — List and retrieve detailed information for all your real estate transactions
Participant Management — Add, list, and update profiles for buyers, sellers, and agents involved in a loop
Document Organization — Explore folders and list metadata for all transaction documents
Task Tracking — Monitor the status of checklists and to-do items for each deal
Activity Auditing — Review the full activity log for any specific loop to see historical actions
Profile Control — Access multiple profiles (personal or brokerage) associated with your account

The Dotloop MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dotloop to OpenAI Agents SDK via MCP

Follow these steps to integrate the Dotloop MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Dotloop

Why Use OpenAI Agents SDK with the Dotloop MCP Server

OpenAI Agents SDK provides unique advantages when paired with Dotloop through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Dotloop + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Dotloop MCP Server delivers measurable value.

Automated workflows: build agents that query Dotloop, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Dotloop, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Dotloop tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Dotloop to resolve tickets, look up records, and update statuses without human intervention

Dotloop MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Dotloop to OpenAI Agents SDK via MCP:

add_loop_participant

Add a new participant to a loop

get_loop_activity

Retrieve the activity log for a specific loop

get_loop_details

Get comprehensive information for a specific loop

list_folder_documents

List all documents within a specific loop folder

list_loop_folders

List all document folders within a specific loop

list_loop_participants

List all participants (buyers, sellers, agents) in a specific loop

list_loop_tasks

List all tasks and checklists for a specific loop

list_loops

List all real estate transactions (loops) for a specific profile

list_profile_contacts

List all contacts in the user directory for a specific profile

list_profiles

Retrieve all profiles (brokerages, associations, individual) associated with the user

Example Prompts for Dotloop in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dotloop immediately.

"List all my active transaction loops."

"Show me the tasks for loop ID '78901'."

Troubleshooting Dotloop MCP Server with OpenAI Agents SDK

Common issues when connecting Dotloop to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Dotloop + OpenAI Agents SDK FAQ

Common questions about integrating Dotloop MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.