How to Use the Fizzpa MCP in AutoGen
Coordinate multi-agent kitchen and delivery debates in AutoGen using real-time Fizzpa order data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fizzpa MCP to AutoGen
Create your Vinkius account to connect Fizzpa 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.
Manage Fizzpa Orders in AutoGen
The `create_new_order` tool executes only after your AutoGen agents reach a consensus on customer details and menu availability. A customer-facing agent drafts the order, while a kitchen agent verifies the items before committing. This multi-agent deliberation prevents errors like sending incomplete orders to your kitchen. Connecting this MCP Server gives your agents a shared interface to execute actions once they agree.
Coordinate Shipping Labels via Multi-Agent Negotiation
The `get_shipping_label` tool generates fulfillment documents once your logistics and finance agents approve the order details. The logistics agent checks `list_warehouse_locations` to pick the best origin, while the finance agent reviews the costs. If a discrepancy arises, the agents debate the optimal route before calling `update_order_info`. This collaborative process ensures you never print a label for an unvalidated address.
Monitor System Health with Autonomous Agents
The `check_api_health` tool allows an automated monitoring agent to verify your MCP connection status independently. If the API goes down, the agent alerts the team and pauses active order tasks. Another agent monitors `list_configured_webhooks` to ensure restaurant notifications are flowing. If a webhook fails, the agents negotiate a fallback plan, such as calling `get_order_details` directly to check for updates.
Set up Fizzpa 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 Fizzpa 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="Fizzpa_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fizzpa 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="Fizzpa_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fizzpa 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 Fizzpa. 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.
Why Choose Vinkius
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Common questions about Fizzpa MCP in AutoGen
Use it with your favorite AI tools
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