KDniao MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect KDniao 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: {
"kdniao": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "KDniao Agent",
instructions:
"You help users interact with KDniao " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with KDniao?"
);
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 KDniao MCP Server
Empower your AI agent to orchestrate your logistics and e-commerce operations with KDniao (快递鸟), one of the most reliable logistics tracking APIs in China. By connecting KDniao to your agent, you transform complex shipment monitoring, digital waybill management, and delivery forecasting into a natural conversation. Your agent can instantly track packages across hundreds of carriers, identify shippers from tracking numbers, subscribe to status updates, and even estimate arrival times without you ever needing to navigate the comprehensive KDniao portal. Whether you are conducting a supply chain audit or providing real-time customer support for order deliveries, your agent acts as a professional logistics assistant, keeping your data accurate and your operations efficient.
Mastra's agent abstraction provides a clean separation between LLM logic and KDniao tool infrastructure. Connect 8 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
- Comprehensive Tracking — Retrieve real-time status and historical traces for any supported domestic or international package.
- Shipper Identification — Automatically identify the most likely shipper company for a given tracking number.
- Update Subscriptions — Set up automated push notifications to receive real-time alerts when a package status changes.
- Logistic Estimations — Retrieve shipping price estimates and predicted arrival times for specific routes.
- Verification Support — Identify carriers that require additional recipient verification (like phone number digits).
The KDniao MCP Server exposes 8 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 KDniao to Mastra AI via MCP
Follow these steps to integrate the KDniao 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 8 tools from KDniao via MCP
Why Use Mastra AI with the KDniao MCP Server
Mastra AI provides unique advantages when paired with KDniao through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add KDniao 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 KDniao 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
KDniao + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the KDniao MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query KDniao, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed KDniao as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query KDniao on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using KDniao tools alongside other MCP servers
KDniao MCP Tools for Mastra AI (8)
These 8 tools become available when you connect KDniao to Mastra AI via MCP:
create_electronic_waybill
Sender/Receiver must be JSON with Name, Mobile, ProvinceName, CityName, ExpAreaName, Address. Uses RequestType 1007. Create an electronic shipping waybill
get_estimated_arrival
Uses RequestType 8001. Get estimated delivery time
identify_carrier
Uses RequestType 2002. Auto-detect carrier from tracking number
onsite_pickup
Uses RequestType 1801. Request on-site courier pickup
preorder_pickup
Uses RequestType 1001. Schedule a courier pickup
query_shipping_price
Uses RequestType 1003. Get shipping price estimate
subscribe_tracking
Uses RequestType 1008. Subscribe to tracking updates via webhook
track_package
Uses RequestType 1002. Track a package in real-time
Example Prompts for KDniao in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with KDniao immediately.
"Track package 'YTO123456789' using carrier code 'YTO'."
"Identify the shipper for tracking number '7890123456'."
"Estimate arrival time for an SF Express package from Shanghai to Hangzhou."
Troubleshooting KDniao MCP Server with Mastra AI
Common issues when connecting KDniao to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKDniao + Mastra AI FAQ
Common questions about integrating KDniao 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 KDniao 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 KDniao to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.