Urbanise MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Create Maintenance Job, Get Client Profile, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Urbanise as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Urbanise app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Urbanise. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Urbanise?"
)
print(response)
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.
LlamaIndex agents combine Urbanise tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Urbanise into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Urbanise MCP Server
LlamaIndex provides unique advantages when paired with Urbanise through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Urbanise tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Urbanise tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Urbanise, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Urbanise tools were called, what data was returned, and how it influenced the final answer
Urbanise + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Urbanise MCP Server delivers measurable value.
Hybrid search: combine Urbanise real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Urbanise to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Urbanise for fresh data
Analytical workflows: chain Urbanise queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Urbanise in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Urbanise to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUrbanise + LlamaIndex FAQ
Common questions about integrating Urbanise MCP Server with LlamaIndex.