Urbanise MCP Server for LangChainGive LangChain instant access to 12 tools to Check Api Health, Create Maintenance Job, Get Client Profile, and more
LangChain is the leading Python framework for composable LLM applications. Connect Urbanise through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Urbanise app connector for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"urbanise": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Urbanise, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Urbanise through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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.
The Urbanise MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain 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 Urbanise tools available for LangChain
When LangChain connects to Urbanise through Vinkius, your AI agent gets direct access to every tool listed below — spanning strata-management, facility-management, building-operations, 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.
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
Connect Urbanise to LangChain via MCP
Follow these steps to wire Urbanise into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Urbanise MCP Server
LangChain provides unique advantages when paired with Urbanise through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Urbanise MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Urbanise queries for multi-turn workflows
Urbanise + LangChain Use Cases
Practical scenarios where LangChain combined with the Urbanise MCP Server delivers measurable value.
RAG with live data: combine Urbanise tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Urbanise, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Urbanise tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Urbanise tool call, measure latency, and optimize your agent's performance
Example Prompts for Urbanise in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Urbanise immediately.
"List all property plans managed in my Urbanise account."
"Show me all active maintenance jobs for 'Sunset Heights'."
"Create a maintenance job: 'Fix leaking pipe in Room 402'."
Troubleshooting Urbanise MCP Server with LangChain
Common issues when connecting Urbanise to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUrbanise + LangChain FAQ
Common questions about integrating Urbanise MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.