How to Use the SafeCube Container Tracking MCP in AutoGen
Assemble a team of AutoGen agents to debate, manage, and audit your container shipments.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SafeCube Container Tracking MCP to AutoGen
Create your Vinkius account to connect SafeCube Container Tracking to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Let Your Agents Debate Logistics
AutoGen's strength is conversation. You can build a team of agents with different jobs. A 'TrackerAgent' could be responsible for periodically calling `list_active_shipments` and `get_container_tracking`, simply reporting the facts into the group chat. Then, a 'LogisticsManagerAgent' can react to those facts. If the tracker reports a delay, the manager agent can take over, call `get_shipment_events` to find the cause, and propose a solution. This creates a system of checks and balances for your supply chain.
Resolve Exceptions with a Multi-Agent Team
A single agent might miss something. With AutoGen, you can have a 'FinanceAgent' and an 'OperationsAgent' analyze the same data. When `get_shipment_events` shows a 'Container Unloaded' event, the OperationsAgent might see a successfully completed job. But the FinanceAgent sees a trigger for revenue recognition and might ask for confirmation. The agents can use the shared context to discuss the event's implications from different angles, leading to a more robust conclusion than one agent could reach alone. This MCP server provides the raw data for their debate.
Build a Resilient AutoGen Supervisor
Your team of agents needs a supervisor. You can create a simple 'SystemStatusAgent' whose only job is to call `check_api_status` every few minutes. If it detects an outage with the SafeCube API, it can broadcast a message to the other agents. This tells the other agents to pause their tasks, like polling `get_container_tracking`, until the service is back online. It's a simple way to make your entire multi-agent system more reliable and prevent them from working with stale or unavailable data.
Set up SafeCube Container Tracking 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 SafeCube Container Tracking 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="SafeCube Container Tracking_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent SafeCube Container Tracking 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="SafeCube Container Tracking_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent SafeCube Container Tracking 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 SafeCube. 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 SafeCube Container Tracking MCP in AutoGen
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