Bring Real Estate
to CrewAI
Learn how to connect DoorLoop to CrewAI 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 CrewAI?
When paired with CrewAI, DoorLoop becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DoorLoop tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
DoorLoop in CrewAI
DoorLoop and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DoorLoop to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.