FedEx MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FedEx through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="FedEx Assistant",
instructions=(
"You help users interact with FedEx. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FedEx"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FedEx MCP Server
What you can do
Connect AI agents to the FedEx API suite for end-to-end logistics management:
The OpenAI Agents SDK auto-discovers all 9 tools from FedEx through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries FedEx, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
- Track packages in real-time with detailed scan history and delivery estimates
- Track multiple packages simultaneously for batch monitoring
- Get shipping rates across all FedEx services (Express, Ground, Freight)
- Create shipments and generate shipping labels directly
- Validate addresses to prevent delivery failures
- Find nearby FedEx locations (offices, drop boxes, ship centers)
- Verify postal codes and check service availability between locations
- Get proof of delivery documents for completed shipments
The FedEx MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FedEx to OpenAI Agents SDK via MCP
Follow these steps to integrate the FedEx MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from FedEx
Why Use OpenAI Agents SDK with the FedEx MCP Server
OpenAI Agents SDK provides unique advantages when paired with FedEx through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
FedEx + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FedEx MCP Server delivers measurable value.
Automated workflows: build agents that query FedEx, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries FedEx, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FedEx tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FedEx to resolve tickets, look up records, and update statuses without human intervention
FedEx MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect FedEx to OpenAI Agents SDK via MCP:
check_service_availability
Includes service names, transit times, and availability status. Use this to verify if Express, Ground, or Freight services operate between specific postal codes before quoting or booking shipments. Check if FedEx shipping services are available between two locations
create_shipment
Requires shipper/recipient details, package weight/dimensions, and service type. Returns tracking number, label format, and estimated delivery date. Use this to generate labels for outbound shipments or process returns. Create a FedEx shipment and generate a shipping label
find_locations
Includes location type (FedEx Office, Ship Center, Drop Box), address, hours of operation, and services offered. Use this to find where to drop off packages, print labels, or access packing supplies. Find nearby FedEx locations (drop-off points, offices, or drop boxes)
get_postal_code
Use this to verify postal codes before shipping or to resolve ambiguous addresses. Validate a postal/ZIP code and get location details
get_proof_of_delivery
Returns POD image URL, delivery date, recipient name, and signature status. Use this to confirm successful delivery for billing disputes, insurance claims, or customer inquiries. Get proof of delivery (POD) document for a delivered FedEx package
get_rates
Requires origin/destination postal codes, package weight, and dimensions. Returns service type, rate, currency, and estimated delivery date. Use this to compare shipping costs or choose the most economical service. Get shipping rates and transit times for FedEx services
track_multiple_packages
Returns an array of results with status, scans, and delivery info for each. Requires an array of tracking numbers. Use this for batch monitoring of multiple shipments or checking the status of a multi-piece delivery. Track multiple FedEx packages in a single request
track_package
Requires the 12-15 digit tracking number. Use this to monitor shipment progress, verify delivery, or investigate delays. Track a single FedEx package by tracking number
validate_address
Returns standardized format, validation status, and suggestions if the address is incorrect. Requires street lines, city, state, and postal code. Use this to prevent delivery failures, correct typos in addresses, or verify international addresses before shipping. Validate and standardize a shipping address with FedEx
Example Prompts for FedEx in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FedEx immediately.
"Track package 123456789012 and tell me when it will be delivered"
"How much to ship a 5lb box from 10001 to 90210 via FedEx Ground?"
"Find the nearest FedEx drop-off location to 37201"
Troubleshooting FedEx MCP Server with OpenAI Agents SDK
Common issues when connecting FedEx to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FedEx + OpenAI Agents SDK FAQ
Common questions about integrating FedEx MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect FedEx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FedEx to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.