Easyship MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Easyship 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="Easyship Assistant",
instructions=(
"You help users interact with Easyship. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Easyship"
)
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 Easyship MCP Server
Integrate Easyship, the leading global shipping platform for e-commerce, directly into your AI workflow. Manage your cross-border shipments and carrier rates, track packages in real-time with detailed checkpoint logs, monitor available couriers and their service levels, and oversee your logistics operations using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Easyship through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Easyship, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Shipment Oversight — List and retrieve detailed information and real-time status for all your global logistics shipments.
- Rate Intelligence — Request instant shipping quotes and estimated delivery times for various couriers based on parcel details.
- Tracking Monitoring — Monitor active shipments, resolving real-time transit statuses, courier events, and delivery receipts.
- Carrier Management — Access and monitor all available couriers and their specific service capability boundaries.
The Easyship MCP Server exposes 10 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 Easyship to OpenAI Agents SDK via MCP
Follow these steps to integrate the Easyship 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 10 tools from Easyship
Why Use OpenAI Agents SDK with the Easyship MCP Server
OpenAI Agents SDK provides unique advantages when paired with Easyship 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
Easyship + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Easyship MCP Server delivers measurable value.
Automated workflows: build agents that query Easyship, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Easyship, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Easyship tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Easyship to resolve tickets, look up records, and update statuses without human intervention
Easyship MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Easyship to OpenAI Agents SDK via MCP:
get_easyship_account_metadata
Retrieve metadata and limits for your Easyship account
get_shipment_details
Get detailed information and tracking for a specific shipment
get_shipping_rates
Request shipping rates for a potential shipment
list_available_couriers
List all available couriers and their service capability boundaries
list_failed_deliveries
Identify shipments that have failed delivery or encountered issues (mock logic)
list_in_transit_shipments
Identify shipments that are currently in transit with a courier
list_latest_shipments
Identify the most recently created or updated shipments
list_logistics_shipments
List all shipments in your Easyship account
quick_shipping_volume_audit
Retrieve a high-level summary of shipment activity and success rates
search_shipments_by_reference
Search for shipments using a reference ID or keyword
Example Prompts for Easyship in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Easyship immediately.
"List the most recent global shipments."
"Get shipping rates from USA to France for a 1kg parcel."
"Check the status of shipment 'ES-12345678'."
Troubleshooting Easyship MCP Server with OpenAI Agents SDK
Common issues when connecting Easyship to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Easyship + OpenAI Agents SDK FAQ
Common questions about integrating Easyship 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 Easyship 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 Easyship to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.