How to Use the Evernest Property Management MCP in AutoGen
Let AI agents debate the best way to run your properties. Use AutoGen to build a team of specialists for your Evernest portfolio.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Evernest Property Management MCP to AutoGen
Create your Vinkius account to connect Evernest Property Management to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Simulate a Property Management Team
With AutoGen, you create a team of agents that collaborate on your Evernest portfolio. One agent, the "Analyst," calls `quick_property_portfolio_audit` to get the numbers. Another, the "Operations Manager," uses `list_high_priority_repairs` to focus on maintenance. They don't just act in sequence; they converse. The Analyst might argue for selling a low-performing property, while the Ops Manager points out its low maintenance load using data from the tools. They debate to reach a consensus you can actually trust.
Let Agents Negotiate Repair Priorities
Deciding which repairs to fund first is a classic tradeoff. Set up an AutoGen group chat where a "Finance" agent uses `get_property_detailed_data` to check a property's revenue, while a "Safety" agent uses `list_high_priority_repairs` to flag urgent issues. They'll discuss the best course of action right in the chat. The Finance agent might push to defer a cosmetic fix on a high-earning property, while the Safety agent insists on fixing a boiler in a vacant unit. The final decision is a product of their negotiation, backed by Evernest data.
Build an AutoGen Team for Tenant Workflows
This MCP server gives your agents the tools for complex tenant management. An "Onboarding" agent can monitor `list_active_tenants` for new entries. A "Compliance" agent can then use `get_tenant_detailed_profile` and `list_active_lease_agreements` to make sure all the paperwork is in order. If the Compliance agent finds a missing document, it doesn't just fail. It notifies the Onboarding agent in the group chat, who can then take corrective action. It's a system of checks and balances, all orchestrated through AutoGen's conversational framework.
Set up Evernest Property Management MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Evernest Property Management tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Evernest Property Management_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Evernest Property Management data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Evernest Property Management_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Evernest Property Management data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Evernest Property Management. 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.
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Common questions about Evernest Property Management MCP in AutoGen
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