How to Use the DealMachine MCP in AutoGen

Q: Can AutoGen agents manage my DealMachine teams?

Yes. Agents can use listdrivingteams to see active drivers and their roles. They can then assign tasks based on who is currently working in the field.

Let your AutoGen agents debate and verify real estate strategies using live DealMachine data.

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Connect DealMachine MCP to AutoGen

Create your Vinkius account to connect DealMachine to AutoGen 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 DealMachine with AutoGen

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Perplexity

Debate leads with AutoGen agents

Assign one agent to `list_real_estate_leads` while another evaluates the status of each entry. They negotiate which leads require immediate marketing attention. This setup resolves ambiguity in your pipeline. Your team of agents converges on a plan based on the actual lead status data provided.

Negotiate marketing spend via MCP

Have your performance agent call `list_marketing_campaigns` to report on engagement. A second agent challenges the spending based on the recipient counts. They deliberate until they agree on the next action. This process forces your system to justify every campaign move with hard numbers.

Verify property data with multi-agent teams

Use `get_property_details` to feed data into your conversation loop. One agent acts as the researcher while the other verifies the mortgage and equity figures. They cross-check the data before reaching a final recommendation. You get a consensus-driven analysis that is far more reliable than a single agent's guess.

Setup guide

Set up DealMachine 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 DealMachine 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="DealMachine_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="DealMachine_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DealMachine. 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.

Why Choose Vinkius

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Common questions about DealMachine MCP in AutoGen

You pass the server tools into the AutoGen agent constructor. The tool adapter handles the communication so your agents can call them during their debate.

Yes. Agents can use `list_driving_teams` to see active drivers and their roles. They can then assign tasks based on who is currently working in the field.

Absolutely. You can configure your agents to use these tools whenever they reach a decision point that requires external property or lead data.

Vinkius provides an ephemeral sandbox. Your property identifiers and campaign metrics exist only in memory during the agent conversation.

The connection uses strict transport security. Your private owner contact details and property equity records are never logged or exposed to other users.

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