How to Use the GoTab MCP in AutoGen
Deploy AutoGen agents to debate and resolve restaurant inventory discrepancies using the GoTab MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GoTab MCP to AutoGen
Create your Vinkius account to connect GoTab 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.
Multi-agent consensus for GoTab operations
`get_tab` fetches the detailed bill and active orders for a specific customer table. In an AutoGen setup, a billing agent and a manager agent debate discrepancies in the tab before taking action. This prevents incorrect charges from being finalized without consensus. The billing agent pulls order details using `get_order`, while the manager agent reviews the tab status using `list_tabs`. They negotiate the correct balance, ensuring high accuracy before presenting the final bill to the guest.
Automated inventory resolution via AutoGen MCP Server
`update_item_status` toggles the availability of a specific menu item on your digital ordering platform. An inventory agent flags a low-stock item using `list_items`, while a kitchen agent verifies active orders using `list_orders`. They debate whether to mark the item as out of stock. This cooperative decision-making process prevents false stock-outs. The kitchen agent might argue to keep the item active if pending orders are low, while the inventory agent pushes to disable it, resolving the conflict through structured conversation.
Multi-location menu management
`list_locations` retrieves all physical restaurant properties linked to your account. In AutoGen, dedicated location agents manage individual spots, coordinating menu updates via `list_menus` and `list_categories`. This lets you run complex multi-site operations without manual oversight. When a corporate menu change occurs, the agents discuss which locations should receive the update. They verify local item availability using `get_item` before applying the changes, ensuring regional menu consistency.
Set up GoTab 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes GoTab tools and returns structured results.
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="GoTab_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent GoTab data")
print(result.messages[-1].content)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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="GoTab_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent GoTab data")
print(result.messages[-1].content)Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoTab. 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 GoTab MCP in AutoGen
Use it with your favorite AI tools
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