How to Use the AfterShip MCP in AutoGen

Q: How can AutoGen agents decide when to re-track a stalled AfterShip shipment?

You'd create two agents. An 'Operations' agent uses gettracking and proposes a retracktracking call if a shipment is stalled. A 'Policy' agent can then review the proposal and approve or deny it based on rules you've set, leading to a smarter, consensus-driven action.

Q: Can one agent create a tracking and another one monitor it?

Yes, that's a core AutoGen pattern. You give one agent the createtracking tool and another the gettracking tool. The first agent announces the new tracking number in the group chat, and the second agent picks it up and begins its monitoring task.

Q: What's a good use case for AutoGen's debate feature with AfterShip?

Courier selection is a perfect example. After calling detectcourier, you might get a few options. One agent can argue for the fastest courier, another for the cheapest. They can debate until they find the best fit for that specific AfterShip shipment based on its priority.

Q: How do I give my AutoGen agents access to the AfterShip MCP server?

It's a one-liner. Install autogen-extmcp and use the mcpservertools function with your Vinkius endpoint URL. This function fetches the AfterShip tools, which you can then assign to any AssistantAgent in your multi-agent setup.

Build teams of AI agents that debate, coordinate, and manage your AfterShip logistics operations using AutoGen's conversational framework.

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Setup AfterShip with AutoGen

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Multi-Agent Shipment Management

Don't just use one agent, assemble a team. You can build a 'Logistics Agent' that uses `create_tracking` for new orders, while a 'Support Agent' independently monitors `list_trackings` for delays. They don't need a central script. These agents coordinate by talking to each other. The Logistics Agent can tell the Support Agent, "I've just created tracking #XYZ-123." The Support Agent hears this and knows to start monitoring that specific package.

Debate the Best Course of Action

This is what makes AutoGen different. When `get_tracking` shows a package is stalled, you can have agents debate what to do. One agent might propose using `retrack_tracking` immediately. A 'Finance Agent' could argue to wait, citing the cost of re-tracking non-critical shipments. You define their roles and perspectives, and they negotiate to a consensus. It's a way to handle ambiguous situations where there's no single right answer, like when `detect_courier` returns several possibilities.

Specialized Agents for AfterShip Tasks

Set up an `AssistantAgent` armed with only the AfterShip tools from this MCP server. This agent becomes your team's logistics specialist. It can then collaborate in a group chat with other agents that handle inventory, customer emails, or data analysis. This conversational model lets you build an AI system that mirrors your real-world operations team. Each agent has a clear job, and they work together by passing messages and data.

Setup guide

Set up AfterShip 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes AfterShip tools and returns structured results.

agent.py

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="AfterShip_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent AfterShip data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="AfterShip_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent AfterShip data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AfterShip. 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 AfterShip MCP in AutoGen

You'd create two agents. An 'Operations' agent uses `get_tracking` and proposes a `retrack_tracking` call if a shipment is stalled. A 'Policy' agent can then review the proposal and approve or deny it based on rules you've set, leading to a smarter, consensus-driven action.

Yes, that's a core AutoGen pattern. You give one agent the `create_tracking` tool and another the `get_tracking` tool. The first agent announces the new tracking number in the group chat, and the second agent picks it up and begins its monitoring task.

Courier selection is a perfect example. After calling `detect_courier`, you might get a few options. One agent can argue for the fastest courier, another for the cheapest. They can debate until they find the best fit for that specific AfterShip shipment based on its priority.

It's a one-liner. Install `autogen-ext[mcp]` and use the `mcp_server_tools` function with your Vinkius endpoint URL. This function fetches the AfterShip tools, which you can then assign to any `AssistantAgent` in your multi-agent setup.

Your agents will discuss and process specific shipment data in their group chat. This includes tracking numbers, courier names from `list_couriers`, and delivery statuses. This conversation happens within your AutoGen environment; Vinkius processes tool calls ephemerally and does not log or store this data.

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