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DoorLoop MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Work Order, Get Lease Details, Get Property Details, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DoorLoop as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The DoorLoop app connector for LlamaIndex is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 DoorLoop. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in DoorLoop?"
    )
    print(response)

asyncio.run(main())
DoorLoop
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* 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 DoorLoop MCP Server

Connect your DoorLoop account to any AI agent and take full control of your rental portfolio and real estate operations through natural conversation.

LlamaIndex agents combine DoorLoop tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through 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

  • Property Orchestration — List and manage your entire real estate portfolio programmatically, including retrieving detailed metadata for properties and individual units
  • Tenant & Lease Lifecycle — Access complete tenant profiles and monitor active lease agreements to maintain high-fidelity records of your occupants
  • Maintenance Architecture — Monitor maintenance requests and programmatically create new work orders to coordinate repairs and service vendors efficiently
  • Lead & Prospecting — Retrieve directories of potential tenants (leads) to streamline your vacancy filling and marketing workflows
  • Financial Visibility — Access summarized rent roll reports and vendor directories directly through your agent for instant operational reporting

The DoorLoop MCP Server exposes 12 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.

All 12 DoorLoop tools available for LlamaIndex

When LlamaIndex connects to DoorLoop through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-estate, lease-management, rent-collection, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_work_order

Requires subject and unit/property IDs. Create a new maintenance work order

get_lease_details

Get details for a specific lease

get_property_details

Get details for a specific property

get_rent_roll_report

Get the current rent roll report

get_tenant_details

Get details for a specific tenant

list_leases

List all lease agreements

list_properties

List all properties

list_prospects

List prospective tenants

list_tenants

List all tenants

list_units

Can be filtered by property ID. List all rental units

list_vendors

List all service vendors

list_work_orders

List all maintenance work orders

Connect DoorLoop to LlamaIndex via MCP

Follow these steps to wire DoorLoop into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from DoorLoop

Why Use LlamaIndex with the DoorLoop MCP Server

LlamaIndex provides unique advantages when paired with DoorLoop through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine DoorLoop tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain DoorLoop tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query DoorLoop, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what DoorLoop tools were called, what data was returned, and how it influenced the final answer

DoorLoop + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the DoorLoop MCP Server delivers measurable value.

01

Hybrid search: combine DoorLoop real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query DoorLoop to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DoorLoop for fresh data

04

Analytical workflows: chain DoorLoop queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for DoorLoop in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with DoorLoop immediately.

01

"List all properties and their IDs in my DoorLoop account."

02

"Show me the maintenance requests for 'Sunset Apartments' (ID: prop_1)."

03

"Get the rent roll report for all active units."

Troubleshooting DoorLoop MCP Server with LlamaIndex

Common issues when connecting DoorLoop to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DoorLoop + LlamaIndex FAQ

Common questions about integrating DoorLoop MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query DoorLoop tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.