How to Use the Dotloop MCP in AutoGen

Debate your real estate strategy using AutoGen and Dotloop tools to ensure every transaction detail is verified.

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Setup Dotloop with AutoGen

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Negotiate tasks with AutoGen agents

Set up a compliance agent to call `get_loop_activity` and a closing agent to call `list_loop_tasks`. Let them debate whether a loop is ready for the next phase based on the returned data. This multi-agent approach identifies missing signatures or incomplete forms before you send anything to a client. It forces a consensus before any action is taken.

Manage participants through debate

When adding someone via `add_loop_participant`, have one agent verify the contact details in `list_profile_contacts` while another confirms the role. They catch errors before the API call is made. This prevents bad data from entering your transaction files. The agents check each other's work, reducing the need for you to manually audit every entry.

Oversee folder compliance using agents

Have your agents challenge each other to find missing documents using `list_folder_documents`. They can compare the current file list against a required checklist you define. This ensures your folders stay clean. If an agent notices a document is missing, it alerts you to intervene, keeping your compliance record intact.

Setup guide

Set up Dotloop MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Dotloop tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Dotloop_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dotloop data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Dotloop_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dotloop data")
    print(result.messages[-1].content)

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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 AutoGen

Yes. You can assign tools to specific agents within your group chat. They will call the tools as needed to gather information for their discussion.

The agents share the tool output in the chat history. This allows one agent to verify what another agent found in your loop folders.

All tool execution happens over a secure, ephemeral connection. Your sensitive transaction data is never shared outside of your agent group.

You decide which agent gets which tool. You can give the read-only agents access to `list_loops` while restricting write access to specific agents.

They will continue to debate until they reach a consensus or until you step in. You can review the chat history to see exactly why they reached a conclusion.

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