How to Use the Mews MCP in OpenAI Agents SDK
Connect your Mews property management system directly to your OpenAI Agents SDK production workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mews MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mews to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Direct Room and Reservation Auditing
`get_reservations` pulls live booking lists directly into your Python runtime to check who is checking in today. Your agent can immediately call `get_reservation` to pull down specific check-in times and room requirements. No custom API wrappers needed. This setup lets your agent cross-reference incoming guest requests against actual availability. By using the OpenAI Agents SDK, you can route reservation updates to specialized agents that handle guest communication and internal housekeeping tasks.
Automated Housekeeping and Service Workflows
`list_rooms` retrieves current room status data so your agent can flag which spaces need immediate cleaning. This tool works alongside `list_services` to verify that requested amenities are ready before a guest arrives at the desk. Connecting this MCP Server to your agent pipeline means room statuses update in real time. If a room is marked clean, the agent can trigger an automated SMS to the guest via your custom communication handoffs.
OpenAI Agents SDK Guardrails for Guest Billing
`list_bills` fetches complete financial histories for any checked-in guest to prevent billing errors. The agent uses `list_payments` to check payment settlement statuses before authorizing room key handovers. Because you are running the OpenAI Agents SDK, you can set strict validation guardrails around these financial tools. The agent cannot settle a bill or pull rate details from `list_rates` without passing your predefined safety checks first.
Set up Mews MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Mews tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mews tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mews tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Mews Agent",
instructions="You have access to Mews tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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