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 CrewAI 10 tools — connect in under 2 minutes

Name: Toast
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Toast through Vinkius, pass the Edge URL in the `mcps` parameter and every Toast tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Toast Specialist",
    goal="Help users interact with Toast effectively",
    backstory=(
        "You are an expert at leveraging Toast tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Toast "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Toast MCP Server

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

When paired with CrewAI, Toast becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Toast tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Toast MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Toast

Why Use CrewAI with the Toast MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Toast through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Toast + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Toast for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Toast, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Toast tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Toast against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Toast MCP Tools for CrewAI (10)

These 10 tools become available when you connect Toast to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Toast + CrewAI FAQ

Common questions about integrating Toast MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.