How many restaurants use Toast?

Toast powers 112,000+ restaurants in the US — from food trucks and cafes to fine dining and multi-unit chains. It's the #1 restaurant POS platform.

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

Name: Toast
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 Toast 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 Toast. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About Toast MCP Server

Connect your Toast restaurant to any AI agent and transform how you run your business.

LlamaIndex agents combine Toast 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

Orders — Browse today's sales, drill into check details, track voids and comps
Menus — Full menu engineering: items, prices, modifiers, and availability
Labor — Employee rosters, clock-in/out, overtime, and labor cost tracking
Tables — Floor plan, seating status, and section management
Payments — Cash, card, tips, and settlement tracking
Revenue Centers — Bar vs dining room vs patio sales segmentation

The Toast 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 Toast to LlamaIndex via MCP

Follow these steps to integrate the Toast 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 Toast

Why Use LlamaIndex with the Toast MCP Server

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

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

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

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

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

Toast + LlamaIndex Use Cases

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

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

Data enrichment: query Toast 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 Toast for fresh data

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

Toast MCP Tools for LlamaIndex (10)

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

get_order

Deep drill into a single check. Get order details

get_restaurant

Get restaurant info

list_dining_options

With behavior settings and online ordering config. List dining options

list_employees

For labor management. List employees

list_menu_items

"What is our most expensive dish?" List menu items

list_menus

With categories, availability windows, and ordering channels. List restaurant menus

list_orders

THE core tool — "What sold today?" List restaurant orders

list_revenue_centers

Used for sales segmentation and reporting. List revenue centers

list_tables

For floor plan and seating management. List restaurant tables

list_time_entries

For payroll and scheduling. List time entries

Example Prompts for Toast in LlamaIndex

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

"What were our total sales yesterday and what was the most popular item?"

"Check today's gross sales across all our restaurant locations."

"Update the price of 'Avocado Toast' on the brunch menu to $12.50."

Troubleshooting Toast MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Toast + LlamaIndex FAQ

Common questions about integrating Toast 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.