How to Use the Mews MCP in AutoGen
Let your AutoGen agents debate and coordinate Mews hospitality operations autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mews MCP to AutoGen
Create your Vinkius account to connect Mews 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 Mews housekeeping with AutoGen agents
The `list_rooms` tool allows your AutoGen housekeeping agent to check room statuses and coordinate cleaning priorities with the front desk agent. These AutoGen agents debate which rooms require immediate attention based on incoming arrivals. By feeding live Mews room data to your AutoGen group chat, the agents reach a consensus on cleaning schedules. One AutoGen agent flags dirty rooms while another matches them against VIP arrivals from Mews to optimize the daily turn-down queue.
Resolve Mews billing disputes via AutoGen debate
The `list_bills` tool retrieves itemized financial records so your AutoGen billing agent can cross-reference outstanding balances. This AutoGen agent discusses discrepancies directly with your audit agent to flag unpaid Mews room service charges. This multi-agent setup uses `list_payments` to verify transaction settlements before finalizing an AutoGen checkout. The AutoGen agents debate whether to process a card or flag the Mews bill for manual front desk review.
Manage property rates using this MCP Server
The `list_rates` tool exposes pricing rules and restrictions to your AutoGen revenue management agents. Your AutoGen pricing agent proposes rate adjustments while your risk agent checks them against active Mews room blocks. Connecting this Mews MCP Server to AutoGen lets your agents negotiate room pricing strategies in real time. They analyze active Mews reservations and property configurations to balance occupancy and maximize daily room revenue through AutoGen debate.
Set up Mews 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 Mews 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="Mews_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Mews 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="Mews_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Mews 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 Mews. 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 Mews MCP in AutoGen
Use it with your favorite AI tools
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