How to Use the SevenRooms MCP in LlamaIndex

Q: How does SevenRooms and LlamaIndex manage guest profiles?

You run getguest to pull the profile details. LlamaIndex then indexes this data into a vector store, allowing you to search against it semantically later on.

Q: Can I use LlamaIndex to check table availability?

Yes. The output from checkavailability is added to your indexed knowledge base. You can query past statuses alongside current ones for better insights.

Q: What information does SevenRooms and LlamaIndex track about events?

You index the results of listevents. This means you don't just get a list; you create a queryable record of pricing, capacity limits, and dates for all past and future bookings.

Q: Does LlamaIndex help track reservations?

It does. By indexing the output of listreservations, your application can answer questions about booking trends, not just list who's coming tonight.

Q: If I need to check data privacy in SevenRooms and LlamaIndex, what information is touched?

The server touches guest profile details (getguest). By indexing this data, you must ensure the vector store access controls match the sensitivity of personal identification records.

Build RAG applications and query API results using LlamaIndex.

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Connect SevenRooms MCP to LlamaIndex

Create your Vinkius account to connect SevenRooms to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SevenRooms with LlamaIndex

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Search booking history across all SevenRooms venues.

LlamaIndex lets you index live data. You can use the `list_venues` tool, then feed those venue IDs into a query that searches for reservations using `list_reservations`. The result becomes part of your searchable knowledge base. This means you can ask complex questions like, 'What were our average bookings at all locations last month?' and get answers grounded in the API data.

Index real-time table status for fast lookups.

The `check_availability` tool output—showing open tables or wait times—can be indexed. You build a knowledge graph where 'high availability' is a searchable fact, not just a live metric. This lets your RAG app answer questions like, 'Based on historical data and current status, when will the main dining room be clear?'

Augment documents with specific guest profiles.

Instead of just calling `get_guest`, you index the profile alongside operational manuals. You can then ask a question—like 'What is Mr. Silva's preference for seating?'—and the answer comes from both your documents and the live API data. The combination makes it a powerful, unified knowledge source.

Setup guide

Set up SevenRooms 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 SevenRooms 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 SevenRooms tools.",
)
response = await agent.run("List recent SevenRooms 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 SevenRooms. 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 SevenRooms MCP in LlamaIndex

You run `get_guest` to pull the profile details. LlamaIndex then indexes this data into a vector store, allowing you to search against it semantically later on.

Yes. The output from `check_availability` is added to your indexed knowledge base. You can query past statuses alongside current ones for better insights.

You index the results of `list_events`. This means you don't just get a list; you create a queryable record of pricing, capacity limits, and dates for all past and future bookings.

It does. By indexing the output of `list_reservations`, your application can answer questions about booking trends, not just list who's coming tonight.

The server touches guest profile details (`get_guest`). By indexing this data, you must ensure the vector store access controls match the sensitivity of personal identification records.

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