DHL MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DHL 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="DHL Assistant",
instructions=(
"You help users interact with DHL. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DHL"
)
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 DHL MCP Server
What you can do
Connect AI agents to the DHL Express Enterprise API for global supply chain visibility:
The OpenAI Agents SDK auto-discovers all 6 tools from DHL through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DHL, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- Track shipments: Audit real-time checkpoints, transit statuses, and projected delivery hours.
- Get shipping rates: Evaluate instant Express Worldwide and Economy quotes before issuing AWB.
- Create shipments: Dispatch logistics algorithms setting sender/recipient vectors automatically.
- Validate compliance: Certify delivery postal codes mapping to functional address routes cross-border.
- Find service nodes: Query precise GPS mapping of close DHL drop-off or pickup spots.
The DHL MCP Server exposes 6 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 DHL to OpenAI Agents SDK via MCP
Follow these steps to integrate the DHL 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 6 tools from DHL
Why Use OpenAI Agents SDK with the DHL MCP Server
OpenAI Agents SDK provides unique advantages when paired with DHL 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
DHL + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DHL MCP Server delivers measurable value.
Automated workflows: build agents that query DHL, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DHL, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DHL tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DHL to resolve tickets, look up records, and update statuses without human intervention
DHL MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect DHL to OpenAI Agents SDK via MCP:
create_shipment
Requires shipper/recipient details, package weight, and service type. Use this to generate labels for outbound shipments. Returns the tracking number and label document URL. Create a DHL shipment and generate a shipping label
find_locations
Includes address, opening hours, and services available. Use this to find where to drop off a package or visit a DHL center. Find nearby DHL service locations
get_proforma_invoice
Use this for customs clearance documentation or proof of value. Retrieve the proforma invoice document for a DHL shipment
get_rates
g., Express Worldwide, Economy Select) between origin and destination. Requires origin/recipient addresses and package details (weight, dimensions). Use this to compare shipping costs and delivery speeds. Get shipping rates and transit times for DHL services
track_shipment
Returns current status, delivery estimate, and detailed checkpoints (origin, destination, customs, etc.). Requires the 10-digit tracking number (e.g., 1234567890). Use this to monitor international or domestic deliveries. Track a DHL shipment by tracking number
validate_address
Returns standardized address format and suggestions if the address is incorrect. Use this to prevent delivery failures before creating a shipment. Validate a DHL shipping address
Example Prompts for DHL in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DHL immediately.
"Investigate the real-time exact customs and logistics status for DHL waybill 1928374650."
"Evaluate the logistics rates for sending a 5-kilogram package from ZIP 10001 (US) to ZIP 80331 (DE)."
"Where is the closest official DHL drop-off service center near ZIP 90210?"
Troubleshooting DHL MCP Server with OpenAI Agents SDK
Common issues when connecting DHL to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DHL + OpenAI Agents SDK FAQ
Common questions about integrating DHL 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 DHL 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 DHL to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.