Toast MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Toast through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Toast Assistant",
instructions=(
"You help users interact with Toast. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Toast"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Toast through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Toast, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Toast MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Toast
Why Use OpenAI Agents SDK with the Toast MCP Server
OpenAI Agents SDK provides unique advantages when paired with Toast through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Toast + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Toast MCP Server delivers measurable value.
Automated workflows: build agents that query Toast, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Toast, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Toast tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Toast to resolve tickets, look up records, and update statuses without human intervention
Toast MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Toast to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Toast to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Toast + OpenAI Agents SDK FAQ
Common questions about integrating Toast MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
