Can I track packages from different carriers like DHL and FedEx at once?

Yes! 17Track supports over 1,500 carriers. You can register any tracking number, and the `detect_carrier` tool can help identify which provider is handling the shipment.

How do I add a friendly name to a tracking number?

Use the `update_tracking_tag` tool and provide the tracking number along with your desired text in the `tag` parameter. This makes it easier to identify shipments later.

What happens if I don't know the carrier ID?

No problem. You can use the `detect_carrier` tool with the tracking number first. It will return the most likely carrier IDs, which you can then use to register the shipment.

17Track MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: 17Track
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 17Track through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="17Track Assistant",
            instructions=(
                "You help users interact with 17Track. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from 17Track"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 17Track MCP Server

Equip your AI agent with the most comprehensive logistics intelligence available via 17Track. This unified server provides your agent with instant access to real-time shipment status, event history, and carrier metadata for over 1,500 global logistics providers. Your agent can instantly register new tracking numbers, audit shipping progress, and retrieve detailed event logs without you ever checking a tracking page. Whether you are managing e-commerce fulfillment or tracking personal orders, your agent acts as a dedicated logistics coordinator through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from 17Track through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 17Track, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Shipment Monitoring — Register and track thousands of packages simultaneously with real-time status updates.
Event Auditing — Fetch complete historical logs and specific milestone events for any tracking number.
Carrier Intelligence — Automatically detect the carrier for a given number and list all supported global providers.
Metadata Management — Add tags and names to your shipments to keep your logistics organized.
Inventory Control — Stop or delete tracking for completed shipments to maintain a clean dashboard.

The 17Track MCP Server exposes 7 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 17Track to OpenAI Agents SDK via MCP

Follow these steps to integrate the 17Track 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 7 tools from 17Track

Why Use OpenAI Agents SDK with the 17Track MCP Server

OpenAI Agents SDK provides unique advantages when paired with 17Track 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

17Track + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the 17Track MCP Server delivers measurable value.

Automated workflows: build agents that query 17Track, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries 17Track, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through 17Track tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query 17Track to resolve tickets, look up records, and update statuses without human intervention

17Track MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect 17Track to OpenAI Agents SDK via MCP:

delete_tracking

Delete a tracking number

detect_carrier

Detect carrier for a number

get_tracking_info

Get status for a tracking number

list_carriers

List all supported carriers

register_tracking

stop_tracking

Stop tracking a number

update_tracking_tag

Update tracking metadata

Example Prompts for 17Track in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 17Track immediately.

"Register tracking number '123456789' for my order."

"Get the latest status for my package '123456789'."

"Detect which carrier is handling tracking number 'XY123456789Z'."

Troubleshooting 17Track MCP Server with OpenAI Agents SDK

Common issues when connecting 17Track to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

17Track + OpenAI Agents SDK FAQ

Common questions about integrating 17Track MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.