Integrate AfterShip with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate tracking on AfterShip
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 on AfterShip
This action cannot be undone. Delete a tracking entry
Detect courier on AfterShip
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 on AfterShip
Get details of a specific tracking
List couriers on AfterShip
) that can be used for tracking packages. List all supported courier companies
List trackings on AfterShip
Supports extensive filtering by courier (slug), tag, keyword, origin, destination, date ranges, and delivery status. List all package trackings
Mark tracking completed on AfterShip
Useful when the package has been delivered but the courier hasn't updated the final status. Mark a tracking as completed
Retrack tracking on AfterShip
This restarts monitoring and will fetch new checkpoint updates. Retrack an expired tracking
Update tracking on AfterShip
Does not affect the tracking number or courier. Update an existing tracking
Security & Code Integrity Audit
Every tool in the AfterShip MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How many couriers are supported?
AfterShip supports 1,000+ courier companies worldwide including FedEx, UPS, DHL, USPS, Royal Mail, Canada Post, Australia Post, and many regional carriers.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Supported Use Cases for AfterShip
The AfterShip integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Streamlining package tracking
The AfterShip server exposes documented endpoints for package tracking. This allows ChatGPT and Cursor to interact with ecommerce APIs seamlessly.
Autonomous delivery updates Strategies
Connect AfterShip to your AI agents (Claude, ChatGPT, Cursor) to manage delivery updates operations. The MCP server processes the underlying API requests and schema formatting for the ecommerce domain.
AfterShip. 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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