How to Use the DealMachine MCP in LangChain

Q: Can LangChain perform multi-step research on a DealMachine lead?

Yes. Your agent can chain searchleadsbyaddress followed by getleaddetails to build a complete profile automatically.

Q: Does DealMachine support LangChain agents that filter leads?

Absolutely. You can use the listleadtags tool to retrieve your custom categories and then instruct your agent to filter leads based on those specific identifiers.

Chain DealMachine data into your LangChain pipelines to automate lead qualification and property research.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DealMachine MCP to LangChain

Create your Vinkius account to connect DealMachine to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup DealMachine with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate lead management in LangChain

Trigger `add_new_lead` directly from your LangChain agent based on incoming data signals. Your agent handles the property resolution and owner identification without manual CRM entry. This MCP Server provides the hooks you need to keep your pipeline moving. The agent logic dictates exactly when to push new records into your workspace.

Analyze marketing performance with MCP

Feed `list_marketing_campaigns` results into your chains to calculate engagement metrics. You get raw data on send dates and recipient counts for every active initiative. Your agent parses this output to decide which campaigns need follow-up. It turns flat campaign summaries into actionable insights for your team.

Query property data inside your chains

Use `get_property_details` to pull mortgage info, deed history, and equity estimates into your reasoning steps. Your agent uses this data to score leads before you spend time on them. This creates a feedback loop where the output of one tool informs the next. You define the logic for how these property details influence your agent's final decision.

Setup guide

Set up DealMachine MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes DealMachine tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "dealmachine-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent DealMachine transactions"
    })
    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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DealMachine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DealMachine MCP in LangChain

You install the MCP adapters and point your client to the Vinkius endpoint. From there, you pass the tool list into your agent constructor to enable direct API access.

Yes. Your agent can chain `search_leads_by_address` followed by `get_lead_details` to build a complete profile automatically.

Absolutely. You can use the `list_lead_tags` tool to retrieve your custom categories and then instruct your agent to filter leads based on those specific identifiers.

Vinkius handles the auth layer. You provide a single endpoint token to the client, and the server manages the session securely.

Your property addresses and owner names stay within your controlled environment. We use a zero-trust architecture to ensure no data leaks during your agent's reasoning process.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript