AfterShip 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 AfterShip through 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="AfterShip Assistant",
instructions=(
"You help users interact with AfterShip. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AfterShip"
)
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 AfterShip MCP Server
Connect AfterShip tracking platform to any AI agent and track packages from 1,000+ couriers worldwide, auto-detect shipping companies, and manage all your shipments through natural language.
The OpenAI Agents SDK auto-discovers all 9 tools from AfterShip through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AfterShip, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Package Tracking — Create and monitor shipments from FedEx, UPS, DHL, USPS, and 1,000+ other couriers
- Auto-Detect Courier — Automatically identify the shipping company from just a tracking number
- Tracking History — View complete delivery history with checkpoint timestamps and locations
- Delivery Management — Mark trackings as completed, retrack expired ones, or delete old entries
- Customer Notifications — Set up email and SMS notifications for delivery updates
- Courier Directory — Browse all supported courier companies with their contact info and requirements
The AfterShip 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 AfterShip to OpenAI Agents SDK via MCP
Follow these steps to integrate the AfterShip 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 AfterShip
Why Use OpenAI Agents SDK with the AfterShip MCP Server
OpenAI Agents SDK provides unique advantages when paired with AfterShip 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
AfterShip + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AfterShip MCP Server delivers measurable value.
Automated workflows: build agents that query AfterShip, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AfterShip, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AfterShip tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AfterShip to resolve tickets, look up records, and update statuses without human intervention
AfterShip MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect AfterShip to OpenAI Agents SDK via MCP:
create_tracking
Requires at least the tracking number. Optionally specify the courier slug, title, customer emails, SMS phone numbers, order ID, and custom fields. Create a new package tracking
delete_tracking
This action cannot be undone. Delete a tracking entry
detect_courier
Useful when the user provides a tracking number but doesn't know which courier it belongs to. Returns a ranked list of likely couriers. Auto-detect courier from tracking number
get_tracking
Get details of a specific tracking
list_couriers
) that can be used for tracking packages. List all supported courier companies
list_trackings
Supports extensive filtering by courier (slug), tag, keyword, origin, destination, date ranges, and delivery status. List all package trackings
mark_tracking_completed
Useful when the package has been delivered but the courier hasn't updated the final status. Mark a tracking as completed
retrack_tracking
This restarts monitoring and will fetch new checkpoint updates. Retrack an expired tracking
update_tracking
Does not affect the tracking number or courier. Update an existing tracking
Example Prompts for AfterShip in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AfterShip immediately.
"Track my package with tracking number 1Z999AA10123456784."
"What courier handles tracking number 9400111899223344556677?"
"Show me all my active trackings."
Troubleshooting AfterShip MCP Server with OpenAI Agents SDK
Common issues when connecting AfterShip to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AfterShip + OpenAI Agents SDK FAQ
Common questions about integrating AfterShip 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 AfterShip 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 AfterShip to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.