AfterShip Tracking MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AfterShip Tracking through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"aftership-tracking": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AfterShip Tracking Agent",
instructions:
"You help users interact with AfterShip Tracking " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AfterShip Tracking?"
);
console.log(result.text);
}
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 AfterShip Tracking MCP Server
Connect your AfterShip Tracking account to your AI agent to unlock professional logistics orchestration and real-time delivery monitoring. From adding new tracking numbers across 600+ couriers to auditing shipment statuses and detecting carriers automatically, your agent handles your shipping operations through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and AfterShip Tracking tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Shipment Orchestration — Create and manage tracking records for any package using tracking numbers and carrier slugs
- Real-time Status Auditing — Retrieve detailed technical metadata for shipments, including current location and delivery estimates
- Courier Management — List active couriers in your account and automatically detect the carrier for any tracking number
- Logistics Oversight — Monitor your entire shipping pipeline and identify delayed or exception shipments directly from chat
- Delivery Insights — Quickly retrieve historical tracking data to support customer inquiries and supply chain analysis
The AfterShip Tracking MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI 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 AfterShip Tracking to Mastra AI via MCP
Follow these steps to integrate the AfterShip Tracking MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 5 tools from AfterShip Tracking via MCP
Why Use Mastra AI with the AfterShip Tracking MCP Server
Mastra AI provides unique advantages when paired with AfterShip Tracking through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AfterShip Tracking without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every AfterShip Tracking tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
AfterShip Tracking + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AfterShip Tracking MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AfterShip Tracking, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AfterShip Tracking as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AfterShip Tracking on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AfterShip Tracking tools alongside other MCP servers
AfterShip Tracking MCP Tools for Mastra AI (5)
These 5 tools become available when you connect AfterShip Tracking to Mastra AI via MCP:
create_tracking
Register a new package tracking number to initiate real-time monitoring and webhooks via AfterShip
detect_courier
Analyze a raw tracking number format to automatically identify the likely carriers routing it
get_tracking_details
Retrieve highly accurate real-time location updates and the current delivery status for an AfterShip tracking ID
list_couriers
Retrieve the subset of shipping couriers that are currently actively enabled in your AfterShip account
list_trackings
g. InTransit). Retrieve all active and historical tracked shipments currently monitored by AfterShip
Example Prompts for AfterShip Tracking in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AfterShip Tracking immediately.
"Track this FedEx package: 123456789012."
"Identify the carrier for tracking number '9400100000000000000000'."
"Show me all shipments with an 'Exception' status."
Troubleshooting AfterShip Tracking MCP Server with Mastra AI
Common issues when connecting AfterShip Tracking to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAfterShip Tracking + Mastra AI FAQ
Common questions about integrating AfterShip Tracking MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect AfterShip Tracking 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 AfterShip Tracking to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.