How do I get a Tock API Key?

Log in to your Tock dashboard as an administrator, navigate to **Settings > API**, and you can generate or retrieve your unique **REST API Key** from there. Ensure you have an active business subscription.

Does the integration show guest dietary preferences?

Yes, you can use the get_reservation_details tool to retrieve specific guest notes, which typically include dietary restrictions, special occasions, and seating preferences.

Can the agent make new reservations?

This integration currently focuses on listing and auditing existing reservations, guests, and events. Making new reservations or processing payments should be handled via the Tock booking widget or dashboard interface.

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

Name: Tock Reservations
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tock Reservations as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Tock Reservations. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Tock Reservations?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Tock Reservations tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Tock Reservations

Why Use LlamaIndex with the Tock Reservations MCP Server

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

Data-first architecture: LlamaIndex agents combine Tock Reservations tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Tock Reservations tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Tock Reservations, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Tock Reservations tools were called, what data was returned, and how it influenced the final answer

Tock Reservations + LlamaIndex Use Cases

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

Hybrid search: combine Tock Reservations real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Tock Reservations to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Tock Reservations for fresh data

Analytical workflows: chain Tock Reservations queries with LlamaIndex's data connectors to build multi-source analytical reports

Tock Reservations MCP Tools for LlamaIndex (10)

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

get_business_detailed_data

Get detailed settings and information for a specific business

get_business_performance_metrics

Get a summary of performance metrics for a specific business

get_reservation_details

Get full content and status for a specific reservation

get_tock_account_metadata

Retrieve metadata and limits for your Tock account

list_business_guests

List all guests registered in the business directory

list_business_reservations

List all reservations for a specific business

list_business_special_events

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

list_future_scheduled_reservations

Identify reservations that are scheduled for a future date

list_managed_businesses

List all businesses and venues managed in your Tock account

quick_hospitality_volume_audit

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

Example Prompts for Tock Reservations in LlamaIndex

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

"List all reservations for tonight."

"What are our performance metrics for this week?"

"Search for guest 'Sarah Connor'."

Troubleshooting Tock Reservations MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tock Reservations + LlamaIndex FAQ

Common questions about integrating Tock Reservations MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Tock Reservations tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.