How to Use the Moova MCP in AutoGen
Manage multi-agent shipping debates and carrier bookings with AutoGen and this Moova MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moova MCP to AutoGen
Create your Vinkius account to connect Moova 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 with AutoGen
Build an AutoGen team where a finance agent and a logistics agent discuss Moova carrier options using the `get_budget` tool. The logistics agent calls Moova's `get_budget` tool to fetch live shipping rates, while the finance agent verifies the cost against your budget limits in AutoGen. Once both AutoGen agents reach a consensus, the logistics agent calls Moova's `create_shipment` tool to finalize the booking. This collaborative workflow prevents AutoGen from booking expensive express carriers on Moova without approval.
AutoGen dispatch exception handling
Set up a debate between an AutoGen customer service agent and a warehouse agent to resolve Moova delivery failures using `get_shipment_status` and `track_shipment`. When a package is delayed, the agents coordinate using Moova's `get_shipment_status` and `track_shipment` tools to diagnose the bottleneck. If the shipping address is incorrect, the AutoGen agents collaborate to call Moova's `update_shipment` tool with corrected details. This automated negotiation in AutoGen ensures that Moova shipments are corrected before carriers refuse delivery.
Webhook handling with AutoGen agents
Register webhook endpoints using Moova's `create_webhook` tool to stream live shipping events into your AutoGen conversations. When Moova fires a tracking update, AutoGen routes the payload to the appropriate agent to notify the customer. Your AutoGen agents can manage these endpoints using Moova's `list_webhooks` and `delete_webhook` tools to prevent redundant event streams. This keeps your AutoGen multi-agent system synchronized with real-time Moova logistics data.
Set up Moova 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 Moova 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="Moova_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Moova 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="Moova_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Moova 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 Moova. 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 Moova MCP in AutoGen
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