Bring Real Estate
to Pydantic AI
Learn how to connect DoorLoop to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key from DoorLoop (Settings > Integrations)
3. Start managing your rental business from Claude, Cursor, or any MCP client
No more manual toggling between unit lists or digging through maintenance logs. Your AI acts as your dedicated property operations and lease coordinator.
Who is this for?
- Property Managers — instantly retrieve tenant contact info and check unit availability using natural language commands
- Maintenance Coordinators — track work order status and dispatch vendors without leaving your communication tools
- Real Estate Investors — monitor portfolio performance and rent roll reports through simple AI queries
Built-in capabilities (12)
Requires subject and unit/property IDs. Create a new maintenance work order
Get details for a specific lease
Get details for a specific property
Get the current rent roll report
Get details for a specific tenant
List all lease agreements
List all properties
List prospective tenants
List all tenants
Can be filtered by property ID. List all rental units
List all service vendors
List all maintenance work orders
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DoorLoop integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your DoorLoop connection logic from agent behavior for testable, maintainable code
DoorLoop in Pydantic AI
DoorLoop and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DoorLoop to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DoorLoop in Pydantic AI
The DoorLoop 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
DoorLoop for Pydantic AI
Every tool call from Pydantic AI to the DoorLoop MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my DoorLoop API Key?
Log in to DoorLoop, navigate to Settings > Integrations, and generate a new key for the Public API.
Can I filter units by property?
Yes! The list_units tool allows you to specify a property_id to retrieve only the units belonging to a specific building or site.
Does it support creating maintenance work orders?
Absolutely. Use the create_work_order tool to programmatically generate a maintenance request for a specific unit with a subject and description.
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.
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.
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.
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Update: pip install --upgrade pydantic-ai