How to Use the DealMachine MCP in LlamaIndex

Q: Can LlamaIndex users search for DealMachine properties by address?

Yes. You can use searchleadsbyaddress to find specific properties and then index those results for your RAG application to reference later.

Index your DealMachine real estate data into LlamaIndex for semantic search and grounded answers.

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Connect DealMachine MCP to LlamaIndex

Create your Vinkius account to connect DealMachine to LlamaIndex 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 LlamaIndex

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Index real estate leads with LlamaIndex

Transform your `list_real_estate_leads` output into a searchable knowledge base. Your LlamaIndex application indexes these properties so you can query them using natural language. Stop searching through spreadsheets. Ask your agent about lead status or owner names and get results grounded in your actual account data.

Ground AI answers in property metadata

Call `get_property_details` to retrieve specific equity and mortgage data. LlamaIndex stores this information as vectorized context for your retrieval pipelines. Your agent answers questions about property value or ownership history with precision. The data comes straight from the source, minimizing the risk of hallucination.

Monitor account limits via MCP

Query `get_account_details` to check your current credit balance and subscription status. LlamaIndex keeps this metadata accessible for your reporting agents. Your system stays informed about its own operational capacity. It prevents bottlenecks by tracking your usage in real-time.

Setup guide

Set up DealMachine MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all DealMachine MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to DealMachine tools.",
)
response = await agent.run("List recent DealMachine data")

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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 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 LlamaIndex

You use the MCP tool spec to wrap the server and convert it into a tool list. Once loaded, LlamaIndex indexes the tool outputs into your vector store.

You control the refresh cycle in your LlamaIndex application. Since the server provides live access, you can re-index whenever you need the latest lead status.

Yes. You can use `search_leads_by_address` to find specific properties and then index those results for your RAG application to reference later.

The server transmits data only when requested. Your property details and owner information are never stored on Vinkius servers after the request completes.

We use encrypted transport for all data requests. Your private owner contact information and property deed history remain isolated within your private infrastructure.

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