DealMachine MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect DealMachine through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"dealmachine": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using DealMachine, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 DealMachine MCP Server
Integrate DealMachine, the leading CRM for real estate investors, directly into your AI workflow. Manage your real estate leads, research property ownership and equity data, and monitor direct mail marketing campaigns using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with DealMachine through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Lead Management — List, search, and retrieve detailed profiles for your real estate leads.
- Property Research — Access full data for tracked properties including owner names, equity, and mortgage information.
- Campaign Oversight — Monitor active direct mail and marketing campaigns directly via chat.
- Team Coordination — List driving teams and members associated with your account.
The DealMachine MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 DealMachine to LangChain via MCP
Follow these steps to integrate the DealMachine MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from DealMachine via MCP
Why Use LangChain with the DealMachine MCP Server
LangChain provides unique advantages when paired with DealMachine through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine DealMachine MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across DealMachine queries for multi-turn workflows
DealMachine + LangChain Use Cases
Practical scenarios where LangChain combined with the DealMachine MCP Server delivers measurable value.
RAG with live data: combine DealMachine tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query DealMachine, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain DealMachine tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every DealMachine tool call, measure latency, and optimize your agent's performance
DealMachine MCP Tools for LangChain (10)
These 10 tools become available when you connect DealMachine to LangChain via MCP:
add_new_lead
Persists a new lead based on property address, initiating property data resolution and owner identification. Add a new real estate lead to your CRM
get_account_details
Returns account-level metadata including subscription plan, credit balance, and organizational settings. Retrieve metadata and plan limits for your DealMachine account
get_lead_details
Resolves associated property details, owner contact information, and the history of marketing actions taken. Get detailed information for a specific real estate lead
get_property_details
Resolves technical data such as estimated equity, mortgage information, deed history, and detailed owner metadata. Get full data for a specific property including owner and equity
list_driving_teams
Returns a list of teams, active drivers, and their respective roles within the DealMachine workspace. List all teams and members associated with your account
list_lead_tags
Returns tag names and identifiers used for filtering leads and properties. List all tags used to categorize leads and properties
list_marketing_campaigns
Returns campaign summaries including send dates, recipient counts, and engagement metrics. List all direct mail and marketing campaigns
list_real_estate_leads
Returns lead metadata including property addresses, owner names, and current lead status (e.g., potential, contacted). List all real estate leads in your DealMachine account
list_tracked_properties
Returns address data and internal property identifiers. List all properties tracked in the system
search_leads_by_address
Matches the search term against property addresses and owner names using partial case-insensitive matching. Search for leads by address or owner name
Example Prompts for DealMachine in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with DealMachine immediately.
"List my recent real estate leads."
"Show me the details for property '123 Maple St'."
"What marketing campaigns are currently running?"
Troubleshooting DealMachine MCP Server with LangChain
Common issues when connecting DealMachine to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDealMachine + LangChain FAQ
Common questions about integrating DealMachine MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect DealMachine with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DealMachine to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.