Toast MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Toast as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="toast_agent",
tools=tools,
system_message=(
"You help users with Toast. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Toast MCP Server
Connect your Toast restaurant to any AI agent and transform how you run your business.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Toast tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Toast MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Toast automatically
Why Use AutoGen with the Toast MCP Server
AutoGen provides unique advantages when paired with Toast through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Toast tools to solve complex tasks
Role-based architecture lets you assign Toast tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Toast tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Toast tool responses in an isolated environment
Toast + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Toast MCP Server delivers measurable value.
Collaborative analysis: one agent queries Toast while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Toast, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Toast data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Toast responses in a sandboxed execution environment
Toast MCP Tools for AutoGen (10)
These 10 tools become available when you connect Toast to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Toast to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Toast + AutoGen FAQ
Common questions about integrating Toast MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Toast with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Toast to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
