Bring Strata Management
to OpenAI Agents SDK
Learn how to connect Urbanise to OpenAI Agents SDK 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 Urbanise MCP Server?
Connect your Urbanise property management account to any AI agent and simplify how you coordinate building operations, financial records, and community engagement through natural conversation.
What you can do
- Property Management — List all property plans and retrieve detailed metadata for your managed ecosystem.
- Occupant & Strata Support — List residents and owners to manage communications and community directories.
- Maintenance Control — Create, list, and track maintenance jobs and facility tasks directly from your agent.
- Financial Visibility — Query ledger data, billing records, and property budgets to stay on top of your accounts.
- Supply Chain — List managed suppliers and service providers associated with your property plans.
- Asset Tracking — Monitor building equipment and infrastructure assets managed in the FM module.
How it works
1. Subscribe to this server
2. Enter your Urbanise Region, Client ID, and Access Token
3. Start managing your properties and facility maintenance from Claude, Cursor, or any MCP client
Who is this for?
- Property Managers — quickly retrieve occupant lists and verify property budgets via simple AI commands.
- Facility Managers — schedule maintenance jobs and track asset health directly from the workspace.
- Strata Management Companies — coordinate supplier lists and monitor financial ledgers for entire property portfolios.
Built-in capabilities (12)
Verify Urbanise API connectivity
Requires job title and description. Schedule a new maintenance task
Get authenticated client details
List chart of accounts
List active event webhooks
List infrastructure equipment
Retrieve ledger and billing info
List facility maintenance tasks
List property suppliers
List budgets for plans
List residents and owners
List all property plans
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from Urbanise through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Urbanise, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Urbanise in OpenAI Agents SDK
Urbanise and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Urbanise to OpenAI Agents SDK 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 Urbanise in OpenAI Agents SDK
The Urbanise 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 OpenAI Agents SDK 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
Urbanise for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Urbanise MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create a new maintenance job for a property via AI?
Yes! Use the create_maintenance_job tool and provide a title and description. This will instantly register a new task in the Facility Management (FM) module.
How do I see all residents living in a specific property plan?
Run the list_property_occupants query. Your agent will retrieve the complete list of owners and residents across your managed property plans.
Is it possible to check the remaining budget for a building via AI?
Absolutely. Use the list_property_budgets query to retrieve the current budget definitions and allocations for your managed properties.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
