DealMachine MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DealMachine as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DealMachine. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DealMachine?"
)
print(response)
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.
LlamaIndex agents combine DealMachine tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the DealMachine MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from DealMachine
Why Use LlamaIndex with the DealMachine MCP Server
LlamaIndex provides unique advantages when paired with DealMachine through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DealMachine tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DealMachine tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DealMachine, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DealMachine tools were called, what data was returned, and how it influenced the final answer
DealMachine + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DealMachine MCP Server delivers measurable value.
Hybrid search: combine DealMachine real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DealMachine to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DealMachine for fresh data
Analytical workflows: chain DealMachine queries with LlamaIndex's data connectors to build multi-source analytical reports
DealMachine MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DealMachine to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting DealMachine to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDealMachine + LlamaIndex FAQ
Common questions about integrating DealMachine MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.