How to Use the GoFood MCP in AutoGen

Q: How do I track preparation times for my kitchen?

Use markorderprepared to log when a meal is ready. Your agents can track the time elapsed between order acceptance and preparation to optimize kitchen throughput via this MCP setup.

Let specialized AutoGen agents debate and coordinate GoFood order processing and menu updates through consensus.

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Connect GoFood MCP to AutoGen

Create your Vinkius account to connect GoFood 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 GoFood with AutoGen

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Debate and process GoFood orders with AutoGen

`accept_order` triggers a conversation between your kitchen agent and your delivery coordinator agent. Before accepting, the kitchen agent checks capacity while the coordinator verifies driver availability. This multi-agent debate running over the MCP server prevents your kitchen from taking on more orders than your staff can physically prepare.

Resolve inventory conflicts using AutoGen MCP Server

`update_menu_stocks` is called only after your inventory agent and financial agent agree on stock adjustments. If an item runs low, the inventory agent proposes marking it out of stock, while the financial agent calculates the revenue impact. They negotiate the best path forward before committing the change. This collaborative process ensures you don't prematurely pull high-margin items from your GoFood menu during rush hours.

Coordinate multi-outlet GoFood promotions

`create_promo` requires approval from both your marketing agent and your margin-protection agent. The marketing agent reviews active deals via `list_promos` and proposes a discount, which the margin agent must approve before launch. This prevents runaway discounting across your brand. Once both agents agree, the promo is pushed to the specified location using `get_outlet_info` to target the right store.

Setup guide

Set up GoFood 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 GoFood 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="GoFood_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="GoFood_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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

Your customer service agent and kitchen agent discuss the issue. If the kitchen agent confirms a shortage, they agree to trigger `cancel_order` to update the customer and the platform.

Yes, by assigning an agent to monitor each location retrieved via `list_linked_outlets`. The agents negotiate menu updates and use `update_catalog` to sync changes across all your stores.

You pass the tools list from the MCP adapter directly to your AssistantAgent constructor. This exposes actions like `accept_order` and `mark_order_prepared` to the agents' conversational loop.

Use `mark_order_prepared` to log when a meal is ready. Your agents can track the time elapsed between order acceptance and preparation to optimize kitchen throughput via this MCP setup.

Your order payloads, customer details, and menu configurations process inside isolated, single-use V8 containers. Vinkius guarantees that no transaction history or merchant credentials are saved or exposed to external networks.

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