How to Use the GrabFood Partner MCP in AutoGen
Deploy a multi-agent AutoGen team to debate and coordinate your GrabFood Partner store operations in real-time via our MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GrabFood Partner MCP to AutoGen
Create your Vinkius account to connect GrabFood Partner 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.
Negotiate order acceptance through agent debate
The `accept_order` tool is executed only after your AutoGen agents reach a consensus on kitchen capacity. A dedicated kitchen agent monitors prep times while a delivery agent tracks incoming orders, debating whether to accept or reject. If the kitchen agent flags a backup, the team may decide to call `pause_store` instead. This consensus-driven workflow prevents your restaurant from accepting orders it cannot fulfill on time.
Execute safe menu updates via MCP Server tools
The `batch_update_menu` tool allows your agent team to modify specific menu items after verifying stock levels. A stock-auditor agent identifies low ingredients and proposes an update, which the manager agent approves. Once approved, the tool executes the changes on GrabFood. This multi-agent verification process eliminates human error and keeps your online menu perfectly aligned with your physical pantry.
Coordinate order readiness and driver dispatch
The `mark_order_ready` tool notifies GrabFood that the food is packed and ready for collection. Your AutoGen coordinator agent invokes this tool only after the kitchen agent confirms preparation is complete. If a delay occurs, a separate agent can proactively trigger `update_ready_time` to push back the dispatch window. This tight coordination keeps delivery drivers happy and preserves your food quality.
Set up GrabFood Partner 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 GrabFood Partner 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="GrabFood Partner_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent GrabFood Partner 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="GrabFood Partner_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent GrabFood Partner 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 GrabFood Partner. 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 GrabFood Partner MCP in AutoGen
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