How to Use the Easyship MCP in AutoGen
Let your AutoGen agents debate shipping costs and coordinate global deliveries using Easyship.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Easyship MCP to AutoGen
Create your Vinkius account to connect Easyship 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 shipping debates using AutoGen
Build a system where your agents negotiate the best shipping routes. This MCP Server lets you build an AutoGen group chat where one agent can query `get_shipping_rates` while a budget agent analyzes the cost. They discuss the tradeoffs in your group chat to find the most economical option. This consensus-driven approach prevents costly logistics mistakes. The agents verify carrier constraints by calling `list_available_couriers` before finalizing any shipping decisions, resolving conflicts before they hit your warehouse.
Automated logistics audits in AutoGen teams
Deploy a dedicated audit team inside your agent network. A quality control agent can run `quick_shipping_volume_audit` to analyze overall success rates, while a tracking agent monitors active deliveries. Any hiccups trigger immediate alerts. If the audit reveals issues, the tracking agent calls `list_failed_deliveries` to isolate the problematic orders. They collaborate to generate a summary report, all without human intervention.
Coordination over active Easyship shipments
This MCP integration keeps your customer support and logistics agents in sync. When a tracking event occurs, your AutoGen coordinator agent triggers a workflow to check `list_in_transit_shipments` and update the team. If an order is missing, the support agent uses `search_shipments_by_reference` to find the exact history. The agents discuss the status and draft a personalized update for the customer based on `get_shipment_details`.
Set up Easyship 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 Easyship 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="Easyship_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Easyship 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="Easyship_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Easyship 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 Easyship. 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 Easyship MCP in AutoGen
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