How to Use the DoorLoop MCP in AutoGen

Q: Can AutoGen automate DoorLoop tenant screening?

Yes, agents can retrieve applicant details using listprospects and coordinate the screening steps. They discuss credit scores and background checks before recommending approval.

Q: Can my agents manage lease renewals autonomously in this system?

Yes, agents can monitor lease expirations by calling listleases and discussing renewal terms. They will prepare renewal drafts based on the current lease details.

Q: Is my DoorLoop financial data safe during multi-agent execution?

Yes, all operations querying sensitive data like getrentrollreport run within a secure V8 sandbox using this MCP Server. Your API credentials remain isolated, and the agents only see the data returned by the tools.

Coordinate complex DoorLoop maintenance and leasing tasks using multi-agent AutoGen debates.

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Setup DoorLoop with AutoGen

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Delegate DoorLoop tasks to AutoGen agents

The `create_work_order` tool allows your AutoGen agents to coordinate maintenance dispatch through multi-agent conversations. A tenant relations agent drafts the request, while a budget agent reviews the cost before executing the tool. This collaborative setup ensures that no work order is created without verification. The agents debate the urgency based on history fetched from `list_work_orders` before finalizing the action.

Resolve vendor selection through debate

The `list_vendors` tool exposes your contractor directory to AutoGen's consensus-driven agent loops. One agent filters the vendor list for proximity, while another checks past performance to agree on the best candidate. Once the agents reach a consensus, they call `create_work_order` with the selected vendor ID. This eliminates manual dispatch errors by requiring multiple agents to approve the decision.

Audit financial reports via AutoGen

The `get_rent_roll_report` tool delivers real-time financial data directly to your AutoGen auditing agents. An analyst agent flags late payments, and a billing agent drafts payment reminders based on the report. By combining `list_leases` with `get_tenant_details`, the agents cross-reference tenant balances without human intervention. The final output is a verified list of actions ready for your review.

Setup guide

Set up DoorLoop 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 DoorLoop 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="DoorLoop_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent DoorLoop 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="DoorLoop_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent DoorLoop 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 DoorLoop. 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 DoorLoop MCP in AutoGen

Register the DoorLoop MCP Server with AutoGen's streamable HTTP params to expose the tools. Pass the adapted tools directly to your AssistantAgent constructor. This enables instant tool access during conversations.

Yes, agents can retrieve applicant details using `list_prospects` and coordinate the screening steps. They discuss credit scores and background checks before recommending approval.

The AutoGen MCP adapter converts the JSON schemas of tools like `list_properties` and `list_units` automatically. This allows agents to understand and call the tools during their conversations.

Yes, agents can monitor lease expirations by calling `list_leases` and discussing renewal terms. They will prepare renewal drafts based on the current lease details.

Yes, all operations querying sensitive data like `get_rent_roll_report` run within a secure V8 sandbox using this MCP Server. Your API credentials remain isolated, and the agents only see the data returned by the tools.

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