Compatible with every major AI agent and IDE
Create shipment on DHL
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 on DHL
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 on DHL
Use this for customs clearance documentation or proof of value. Retrieve the proforma invoice document for a DHL shipment
Get rates on DHL
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 on DHL
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 on DHL
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
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Does it track regular post or only DHL Express?
This MCP is primarily optimized for the DHL Express system, checking 10-digit Air Waybill tracking numbers globally securely.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with DHL
The DHL integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
AI Semantic Routing for tracking
Use the DHL server to execute tracking operations from your AI agent. The protocol manages state and authentication for continuous industry titans workflows.
Automating shipment management with AI
Integrate the DHL server to handle shipment management requests natively. It provides the schemas required for ChatGPT and Cursor to manage industry titans data.
DHL. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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