How to Use the Tock Reservations MCP in LangChain

Q: Can I track Tock Reservations performance metrics using LangChain?

Yep. You can call getbusinessperformancemetrics directly. This gives you a summary view for any business, letting your LangChain agent track key numbers without manually running multiple reports.

Q: Does Tock Reservations support future event planning in LangChain?

Absolutely. You can use listbusinessspecialevents to pull a list of all pop-ups and special events for a venue. Your LangChain agent handles this list, letting you build out marketing or scheduling workflows around those dates.

Q: How do I audit a business with Tock Reservations using LangChain?

You run the quickhospitalityvolumeaudit. This single call gives you a high-level summary of reservations, guests, and events all at once. It's the fastest way to get a snapshot view for your LangChain agent.

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Connect Tock Reservations MCP to LangChain

Create your Vinkius account to connect Tock Reservations to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Tock Reservations with LangChain

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Multi-Step Reservation Audits with LangChain

Need to check a business's health? Start by getting general details using `get_business_detailed_data`. Then, chain that output into calling `quick_hospitality_volume_audit` to get immediate performance metrics. Your agent can decide which sequence of data calls it needs based on the initial findings.

Managing Guest Data via MCP Server

The system lets you list all guests registered in a business directory using `list_business_guests`. After identifying specific people, you can then use `get_reservation_details` to fetch the full status and content for any given reservation. This makes building complex user journeys simple.

Scheduling Future Lookups with LangChain

Checking out future bookings? You just call `list_future_scheduled_reservations`. If you need to manage multiple venues, start by running `list_managed_businesses` first. This gives the agent a full inventory list before it even tries to look up specific event details using `list_business_special_events`.

Setup guide

Set up Tock Reservations MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Tock Reservations tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "tock-reservations-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Tock Reservations transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Your LangChain agent doesn't just call one function; it builds a chain. It can use `list_business_reservations` to see all current bookings, and then feed that list into another tool to get the full details of each reservation.

Yep. You can call `get_business_performance_metrics` directly. This gives you a summary view for any business, letting your LangChain agent track key numbers without manually running multiple reports.

Absolutely. You can use `list_business_special_events` to pull a list of all pop-ups and special events for a venue. Your LangChain agent handles this list, letting you build out marketing or scheduling workflows around those dates.

It touches reservation records, including full content and status. You can specifically use `get_reservation_details` to pull this information into your LangChain application for deep analysis.

You run the `quick_hospitality_volume_audit`. This single call gives you a high-level summary of reservations, guests, and events all at once. It's the fastest way to get a snapshot view for your LangChain agent.

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