How to Use the DHL MCP in AutoGen
Run multi-agent debates in AutoGen to negotiate DHL shipping rates and validate delivery addresses.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DHL MCP to AutoGen
Create your Vinkius account to connect DHL 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.
Negotiate DHL shipping costs via AutoGen agents
Let your agents fight over the budget. In AutoGen, you can set up a finance agent that demands low costs and an operations agent that demands speed, using this DHL MCP Server to find the optimal shipping method. The AutoGen operations agent queries `get_rates` for DHL Express Worldwide, while the finance agent analyzes the budget. They debate the trade-offs of transit times versus cost before collectively deciding to trigger `create_shipment`.
Multi-agent DHL address verification in AutoGen
One agent can make a mistake, but an AutoGen consensus group won't. Set up an AutoGen validation loop where an address-checking agent runs `validate_address` and passes the suggestions to a supervisor agent for review before hitting DHL. If the DHL address is ambiguous, the AutoGen agents discuss the corrections. Once they reach a consensus on the correct format, they pass the clean payload to `create_shipment`, ensuring zero manual typos slip through.
Automate DHL customs disputes with AutoGen
When international DHL shipments get stuck, your AutoGen agents can coordinate the fix. An AutoGen tracking agent monitors status via `track_shipment` and flags any DHL customs holds to a document agent. The AutoGen document agent immediately calls `get_proforma_invoice` to retrieve the DHL customs paperwork. It then shares this file with an AutoGen customer relations agent to resolve the clearance issue without human intervention.
Set up DHL 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 DHL 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="DHL_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent DHL 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="DHL_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent DHL 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 DHL. 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 DHL MCP in AutoGen
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