How to Use the Amenitiz MCP in AutoGen
Build multi-agent networks where specialized AutoGen agents coordinate to manage your Amenitiz hotel bookings and rates.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Amenitiz MCP to AutoGen
Create your Vinkius account to connect Amenitiz 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.
Coordinate hotel bookings with AutoGen agents
The `list_reservations` tool allows your booking agent to pull active reservation lists and identify scheduling conflicts. When a conflict arises, the booking agent debates resolution strategies with your customer service agent. This multi-agent setup ensures that booking changes aren't made in isolation. One agent flags the room status using `get_reservation`, while another verifies guest tier status before approving any modifications.
Resolve occupancy conflicts using this MCP Server
The `get_availability` tool provides the ground truth for your room allocation discussions. Your scheduling agent queries room statuses and presents them to the pricing agent to decide if a room upgrade is warranted. By using `list_rooms`, the agents inspect individual room features to resolve double-bookings. This automated negotiation happens behind the scenes, delivering a finalized solution to your front desk.
Dynamic rate negotiation between specialized agents
The `get_rates` tool feeds live pricing data into your revenue management conversation. A pricing agent analyzes these rates against current availability to propose promotional discounts during low-occupancy periods. Before publishing, a compliance agent checks the proposed rates against property rules using `list_room_types` over this MCP connection. This consensus-driven process prevents pricing errors and ensures all published rates align with your hotel's policy.
Set up Amenitiz 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 Amenitiz 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="Amenitiz_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Amenitiz 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="Amenitiz_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Amenitiz 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 Amenitiz. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 Amenitiz MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Amenitiz MCP today
We host it, we monitor it, we maintain it. You just paste one token.