How to Use the Tock Reservations MCP in LlamaIndex

Q: Can I analyze Tock Reservations performance metrics using LlamaIndex?

Yes. After running getbusinessperformancemetrics, you index that summary data. Your LlamaIndex application can then combine this metric snapshot with other documents to provide deeper, context-aware analysis.

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

You run listbusinessspecialevents and index the results. This lets you build a knowledge base around upcoming events, answering questions like 'What special pop-ups are happening next month?' without hallucination.

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

You run quickhospitalityvolumeaudit, and then you index the resulting summary. This allows your LlamaIndex agent to combine that high-level metric data with other knowledge sources for better insights.

Index Tock Reservations data into searchable knowledge bases with LlamaIndex.

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Connect Tock Reservations MCP to LlamaIndex

Create your Vinkius account to connect Tock Reservations to LlamaIndex 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 LlamaIndex

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Building Knowledge Graphs for Tock Reservations

Need to query past booking behavior? You run `list_business_reservations` and then index the output. Your LlamaIndex agent can treat these reservation records as a searchable knowledge base, answering questions about old bookings that live in your vector store.

Retrieving Detailed Business Data with MCP Server

Use `get_business_detailed_data` to pull specific settings for any venue. By indexing this output alongside operational documents, LlamaIndex can answer questions like, 'What's the policy for large groups at Venue X?' using live data.

Managing Business Inventory in LlamaIndex

The tool `list_managed_businesses` provides a full inventory of all venues. Indexing this list allows your LlamaIndex agent to answer complex queries like, 'Which managed businesses are located near the downtown district?' based on indexed location data.

Setup guide

Set up Tock Reservations MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Tock Reservations MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Tock Reservations tools.",
)
response = await agent.run("List recent Tock Reservations data")

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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 LlamaIndex

LlamaIndex takes API outputs—like a list of reservations—and indexes them. You can then query those historical records semantically, getting answers grounded in the actual data from your Tock Reservations account.

Yes. After running `get_business_performance_metrics`, you index that summary data. Your LlamaIndex application can then combine this metric snapshot with other documents to provide deeper, context-aware analysis.

You run `list_business_special_events` and index the results. This lets you build a knowledge base around upcoming events, answering questions like 'What special pop-ups are happening next month?' without hallucination.

The server touches reservation status and guest profiles. You can index the output from `get_reservation_details` to build a searchable history of every booking that's ever made.

You run `quick_hospitality_volume_audit`, and then you index the resulting summary. This allows your LlamaIndex agent to combine that high-level metric data with other knowledge sources for better insights.

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