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DoorLoop MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Work Order, Get Lease Details, Get Property Details, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect DoorLoop through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The DoorLoop app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to DoorLoop "
            "(12 tools)."
        ),
    )

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

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.

Pydantic AI validates every DoorLoop tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
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 with type-safe schemas

Why Use Pydantic AI with the DoorLoop MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DoorLoop integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your DoorLoop connection logic from agent behavior for testable, maintainable code

DoorLoop + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query DoorLoop with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple DoorLoop tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query DoorLoop and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock DoorLoop responses and write comprehensive agent tests

Example Prompts for DoorLoop in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DoorLoop + Pydantic AI FAQ

Common questions about integrating DoorLoop MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your DoorLoop MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.