How to Use the Shippo MCP in AutoGen

Q: How does Shippo help AutoGen compare rates?

AutoGen can run createshipmentgetrates and have agents debate the resulting rate structure. One agent might argue that carrier A is cheaper, while another points out that carrier B has better service history for a specific zone.

Q: What specific data does Shippo touch regarding privacy for AutoGen?

The server accesses shipping address information through createandvalidateaddress, along with detailed transaction records from listpurchasedlabels. This requires the agents to handle sensitive location and financial data.

Q: How does Shippo support multi-agent reasoning for tracking?

Agents can use trackpackagestatus as a key piece of evidence. One agent might track a package, while another cross-references that status against the shipment's initial manifest data (listrecentshipments) to verify delays.

Q: Does Shippo help AutoGen understand customs compliance?

The agents can run listcustomsdeclarations and compare those results against the necessary shipping details. This simulates a robust internal debate on whether international shipments are legally ready to move.

Drive decisions with AutoGen multi-agent debate on Shippo logistics planning and execution.

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Connect Shippo MCP to AutoGen

Create your Vinkius account to connect Shippo 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.

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Setup Shippo with AutoGen

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Negotiating Optimal Shipping Paths

The `create_shipment_get_rates` tool initiates a decision debate between agents. One agent might push for the lowest cost using `list_connected_carriers`, while another mandates guaranteed speed, forcing consensus on the best rate combination. This negotiation process simulates complex logistics planning. Agents can use `create_and_validate_address` early in the conversation to ensure all inputs are correct before debating rates or labels. The final decision converges on a specific carrier and price point.

Automated Labeling Through Deliberation

To purchase a label, multiple agents debate the requirements: 'Do we have customs documentation?' (checking `list_customs_declarations`) vs. 'Is the payment valid?' (requiring successful use of `purchase_shipping_label`). This internal deliberation ensures all prerequisites are met before action is taken. This setup models real-world operational risk assessment. The agents argue through the necessary steps, leading to a confirmed and executed label purchase that minimizes errors.

Auditing Compliance and History

Agents can be tasked with auditing past shipments. They start by calling `list_recent_shipments` to get raw data. A 'Compliance Agent' then uses tools like `list_customs_items` to verify compliance for those recorded shipments, while a 'Finance Agent' calls `list_purchased_labels` to confirm spending. This multi-perspective check is perfect for AutoGen. The agents debate whether the historical data aligns with current best practices or regulatory requirements.

Setup guide

Set up Shippo 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 Shippo 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="Shippo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Shippo 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="Shippo_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Shippo 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 Shippo. 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 Shippo MCP in AutoGen

AutoGen can run `create_shipment_get_rates` and have agents debate the resulting rate structure. One agent might argue that carrier A is cheaper, while another points out that carrier B has better service history for a specific zone.

Yes. The agents can negotiate the requirements (address validation via `create_and_validate_address`, payment, etc.) and then converge on calling `purchase_shipping_label` only when consensus is reached.

The server accesses shipping address information through `create_and_validate_address`, along with detailed transaction records from `list_purchased_labels`. This requires the agents to handle sensitive location and financial data.

Agents can use `track_package_status` as a key piece of evidence. One agent might track a package, while another cross-references that status against the shipment's initial manifest data (`list_recent_shipments`) to verify delays.

The agents can run `list_customs_declarations` and compare those results against the necessary shipping details. This simulates a robust internal debate on whether international shipments are legally ready to move.

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