Veeqo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create Manual Order, Get Order Details, Get Product Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Veeqo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Veeqo app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Veeqo, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Veeqo MCP Server
Connect your Veeqo account to any AI agent and simplify how you manage your multi-channel retail, inventory levels, and shipping workflows through natural conversation.
The Vercel AI SDK gives every Veeqo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Order Management — List all sales orders, retrieve line-item details, and create manual orders for specific customers.
- Inventory Control — Query your product catalog and monitor real-time stock levels across all your channels.
- Customer Directory — List and inspect customer data associated with your orders to maintain your CRM.
- Shipping Monitoring — Track shipments and list fulfillment history to stay on top of your logistics.
- SKU Insights — Fetch detailed metadata and variant status for any product in your inventory.
The Veeqo MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 7 Veeqo tools available for Vercel AI SDK
When Vercel AI SDK connects to Veeqo through Vinkius, your AI agent gets direct access to every tool listed below — spanning order-fulfillment, multi-channel-retail, stock-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new order
Get details for a specific order
Get details for a specific product
List Veeqo customers
List products
List Veeqo orders
List shipments
Connect Veeqo to Vercel AI SDK via MCP
Follow these steps to wire Veeqo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Veeqo MCP Server
Vercel AI SDK provides unique advantages when paired with Veeqo through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Veeqo integration everywhere
Built-in streaming UI primitives let you display Veeqo tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Veeqo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Veeqo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Veeqo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Veeqo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Veeqo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Veeqo through natural language queries
Example Prompts for Veeqo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Veeqo immediately.
"List all active orders in my Veeqo account."
"Check the current stock for 'Blue T-Shirt' in the inventory."
"Show me the last 3 shipments and their tracking numbers."
Troubleshooting Veeqo MCP Server with Vercel AI SDK
Common issues when connecting Veeqo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVeeqo + Vercel AI SDK FAQ
Common questions about integrating Veeqo MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.