How to Use the FedEx MCP in OpenAI Agents SDK
Use the OpenAI Agents SDK to automate your FedEx logistics with strict guardrails and full execution tracing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FedEx MCP to OpenAI Agents SDK
Create your Vinkius account to connect FedEx to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Validate addresses before shipping
Your agent uses `validate_address` to clean up messy user input before it hits the network. This stops delivery errors before they start. It flags typos and formats addresses to match official records. You get standardized data ready for your next label generation.
Real-time FedEx rate lookups
The agent invokes `get_rates` to pull shipping costs based on weight and destination. It handles the math so your checkout flow doesn't have to. This tool returns exact transit times and service availability. Your agent picks the right shipping method based on the data provided.
Automated package monitoring
Use `track_package` to feed status updates directly into your agent's decision loop. It provides specific milestone data for every shipment. When you need to monitor a list of items, `track_multiple_packages` handles the batch request. Your agent stays updated without manual checks.
Set up FedEx MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all FedEx tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives FedEx tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate FedEx tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="FedEx Agent",
instructions="You have access to FedEx tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about FedEx MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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