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Tock Reservations MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Tock Reservations through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tock-reservations": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Tock Reservations, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Tock Reservations
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tock Reservations MCP Server

Integrate Tock, the leading reservation and hospitality management platform, directly into your AI workflow. Manage your restaurant or venue reservations and guest directory, track special events and pop-ups, monitor real-time business metrics and occupancy rates, and oversee your hospitality operation using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Tock Reservations through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Reservation Oversight — List and retrieve detailed information, party sizes, and statuses for all your business reservations.
  • Guest Intelligence — Monitor guest profiles and history, resolving names, contact details, and total visit counts across your venues.
  • Performance Management — Access real-time business metrics, resolving total covers, average check size, and occupancy telemetry via chat.
  • Hospitality Auditing — Retrieve high-level summaries of reservation volume, event activity, and organizational hospitality health instantly.

The Tock Reservations MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tock Reservations to LangChain via MCP

Follow these steps to integrate the Tock Reservations MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Tock Reservations via MCP

Why Use LangChain with the Tock Reservations MCP Server

LangChain provides unique advantages when paired with Tock Reservations through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Tock Reservations MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Tock Reservations queries for multi-turn workflows

Tock Reservations + LangChain Use Cases

Practical scenarios where LangChain combined with the Tock Reservations MCP Server delivers measurable value.

01

RAG with live data: combine Tock Reservations tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Tock Reservations, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Tock Reservations tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Tock Reservations tool call, measure latency, and optimize your agent's performance

Tock Reservations MCP Tools for LangChain (10)

These 10 tools become available when you connect Tock Reservations to LangChain via MCP:

01

get_business_detailed_data

Get detailed settings and information for a specific business

02

get_business_performance_metrics

Get a summary of performance metrics for a specific business

03

get_reservation_details

Get full content and status for a specific reservation

04

get_tock_account_metadata

Retrieve metadata and limits for your Tock account

05

list_business_guests

List all guests registered in the business directory

06

list_business_reservations

List all reservations for a specific business

07

list_business_special_events

List all special events and pop-ups for a specific business

08

list_future_scheduled_reservations

Identify reservations that are scheduled for a future date

09

list_managed_businesses

List all businesses and venues managed in your Tock account

10

quick_hospitality_volume_audit

Retrieve a high-level summary of reservations, guests, and events

Example Prompts for Tock Reservations in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Tock Reservations immediately.

01

"List all reservations for tonight."

02

"What are our performance metrics for this week?"

03

"Search for guest 'Sarah Connor'."

Troubleshooting Tock Reservations MCP Server with LangChain

Common issues when connecting Tock Reservations to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tock Reservations + LangChain FAQ

Common questions about integrating Tock Reservations MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Tock Reservations to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.