How to Use the Tock Reservations MCP in OpenAI Agents SDK
Manage reservations and track guest profiles with your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tock Reservations MCP to OpenAI Agents SDK
Create your Vinkius account to connect Tock Reservations 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.
List a business's reservations.
The `list_business_reservations` tool pulls every reservation associated with a specific venue. You immediately see the dates, times, and party sizes for all bookings. This action lets your agent quickly verify if a table is open or if multiple conflicting bookings exist before confirming anything.
Check performance metrics via MCP Server.
Call `get_business_performance_metrics` to get a summary of how well a business is doing. It provides key stats needed for operations planning. Your agent uses these figures—like average bookings per week or peak hours—to recommend staffing changes or pricing adjustments.
Run a quick hospitality volume audit.
The `quick_hospitality_volume_audit` tool retrieves a high-level summary of activity. It gives you immediate counts for reservations, guests, and special events. This is perfect for initial checks when you just need to know the overall scale of operations without deep diving into every single record.
Set up Tock Reservations 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 Tock Reservations tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Tock Reservations tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Tock Reservations 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="Tock Reservations Agent",
instructions="You have access to Tock Reservations 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 Tock Reservations. 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 Tock Reservations MCP in OpenAI Agents SDK
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