How to Use the Urbanise MCP in CrewAI
Run autonomous, specialized operations for Urbanise using the CrewAI multi-agent MCP Server framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Urbanise MCP to CrewAI
Create your Vinkius account to connect Urbanise to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Analyze and List Accounting Ledgers with CrewAI
You can assign Agent A to use `list_accounting_ledgers` to retrieve the full chart of accounts. Agent B then takes this list and cross-references it against facility budgets using `list_property_budgets`. This multi-step process gives you a complete financial overview without manual data merging.
Manage Property Development Lifecycle with CrewAI
A crew can simulate property management. One agent pulls all plans via `list_property_plans`, another checks the current occupants using `list_property_occupants`, and a third compiles this into a single status report. It's built for autonomous operations, not just simple API calls.
Automate Maintenance Job Scheduling with CrewAI
The process starts by checking the server health via `check_api_health`. If healthy, a specialized agent then uses `list_maintenance_jobs` to identify gaps. Finally, it drafts and executes `create_maintenance_job`. This models a full operational cycle from detection to scheduling.
Set up Urbanise MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Urbanise tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Urbanise Analyst",
goal="Access and analyze Urbanise data via MCP.",
backstory="Expert analyst with direct Urbanise access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Urbanise transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Urbanise Analyst",
goal="Access and analyze Urbanise data via MCP.",
backstory="Expert analyst with direct Urbanise access.",
tools=mcp_tools,
)
task = Task(
description="List recent Urbanise transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Urbanise. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Urbanise MCP in CrewAI
Use it with your favorite AI tools
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Start using the Urbanise MCP today
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