How to Use the FedEx MCP in AutoGen

Q: Can AutoGen agents handle FedEx tracking errors?

Agents can debate the meaning of an error code from trackpackage and decide how to retry. They work together to resolve issues without human intervention.

Q: Do AutoGen agents use FedEx for bulk tasks?

They can use trackmultiplepackages to process batches of shipments. The agents then synthesize the findings into a single report.

Build debate-driven logistics agents with AutoGen that use FedEx tools to negotiate shipping costs and delivery schedules.

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Connect FedEx MCP to AutoGen

Create your Vinkius account to connect FedEx 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 FedEx with AutoGen

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Debate shipping rates with AutoGen

Assign agents to call `get_rates` and compare options for your shipment. They argue for the most efficient service while balancing cost and speed. Use `check_service_availability` to resolve disputes about delivery windows. The agents converge on a solution that fits your requirements.

Manage shipments in AutoGen

Let your agents invoke `create_shipment` once they agree on the service. They confirm the details before finalizing the label generation process. Use `track_package` to keep the team informed during the conversation. If a delay occurs, the agents discuss the next steps.

Verify logistics data in AutoGen

Require agents to run `validate_address` before any booking. They check the output against the delivery plan to prevent common errors. Use `get_postal_code` to confirm the destination logic. This ensures your multi-agent system operates on verified information.

Setup guide

Set up FedEx 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 FedEx 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="FedEx_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

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

You pass the tool list to the agent constructor, allowing them to invoke functions as needed. They coordinate who calls which tool during the conversation.

Agents can debate the meaning of an error code from `track_package` and decide how to retry. They work together to resolve issues without human intervention.

The server uses encrypted transport for every request. Only the agents involved in the specific task access the tracking and shipping information.

They can use `track_multiple_packages` to process batches of shipments. The agents then synthesize the findings into a single report.

Agents access delivery status, shipment labels, and address validation results. You define the scope of their access to keep your logistics data secure.

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