How to Use the MENU TIGER MCP in AutoGen

Deploy AutoGen agents to debate, manage, and execute MENU TIGER restaurant orders and kitchen tasks autonomously.

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Connect MENU TIGER MCP to AutoGen

Create your Vinkius account to connect MENU TIGER to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MENU TIGER with AutoGen

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Coordinate kitchen operations with AutoGen

Let your agents debate the best way to handle a busy dinner rush. One AutoGen agent can monitor incoming tickets using `list_orders`, while a coordinator agent determines kitchen bandwidth before calling `update_order_status`. This collaborative approach prevents order bottlenecks. By using `get_order` to inspect individual ticket details, your agent group can collectively decide whether to prioritize a VIP table or flag a delayed order.

Manage digital menus via agent consensus

Avoid accidental menu changes by requiring agent agreement. A curation agent can propose a menu update, while a validation agent reviews the structure using `get_menu` and `list_categories` to make sure it looks right. The agents use `get_item` to double-check pricing accuracy across your digital boards. Once they agree the updates are correct, they approve the live changes, keeping your QR menus accurate.

Verify system readiness using this MCP Server

Before running complex automated tasks, your AutoGen agents can check API health. A diagnostics agent triggers `check_menutiger_status` to ensure the connection is active before any orders are modified. The diagnostic agent can also fetch account details using `get_account` to make sure the correct API keys are active. This layer of automated validation keeps your front-of-house systems running smoothly.

Setup guide

Set up MENU TIGER MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes MENU TIGER tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="MENU TIGER_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MENU TIGER data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="MENU TIGER_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MENU TIGER data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MENU TIGER. 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 MENU TIGER MCP in AutoGen

You register the tools using the autogen-ext MCP adapter. This exposes operations like `list_orders` and `update_order_status` to your agent group as standard conversational actions.

Yes, they can. One agent can inspect the active setup using `list_menus` and `list_items`, while another agent writes the logic to organize them, checking for errors before publishing.

You can monitor the conversational logs between agents. When an agent invokes `get_item` or `get_order`, the tool inputs and JSON outputs are printed directly in the chat history.

Yes, AutoGen works perfectly in headless environments. Your agents can run in the background, monitoring your restaurant order queue via MCP tools without any UI overhead.

All communications with the API are wrapped in TLS and run inside isolated V8 sandboxes. Your restaurant account details, menu structures, and order histories are never exposed to external agents or third-party logs inside Vinkius's secure MCP execution environment.

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