Jumpseller MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jumpseller through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Jumpseller, 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 Jumpseller MCP Server
Empower your AI agents with Jumpseller's e-commerce platform. This MCP server allows you to list and retrieve products and orders, manage customers and categories, track store pages, and view general store information directly through the Jumpseller API. Ideal for automating store management and order processing.
The Vercel AI SDK gives every Jumpseller tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Jumpseller MCP Server exposes 10 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.
How to Connect Jumpseller to Vercel AI SDK via MCP
Follow these steps to integrate the Jumpseller MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Jumpseller and passes them to the LLM
Why Use Vercel AI SDK with the Jumpseller MCP Server
Vercel AI SDK provides unique advantages when paired with Jumpseller 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 Jumpseller integration everywhere
Built-in streaming UI primitives let you display Jumpseller 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
Jumpseller + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jumpseller MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jumpseller in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jumpseller tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jumpseller capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jumpseller through natural language queries
Jumpseller MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jumpseller to Vercel AI SDK via MCP:
get_order
Returns line items, shipping addresses, payment status, and customer notes. Use this for order troubleshooting or providing customer support. Retrieves details for a specific order
get_product
Returns descriptions, detailed pricing, variants, and image metadata. Use this when the user needs to analyze a specific item or prepare product listings. Retrieves details for a specific product
get_store_info
Useful for verifying store configuration. Retrieves general information about your Jumpseller store
list_categories
Useful for understanding store organization and finding products within specific niches. Lists all product categories
list_customers
Returns names, emails, and order counts. Use this when the user wants to identify repeat buyers or audit the customer list. Lists all customers in your store
list_orders
Includes order IDs, totals, and current fulfillment status. Essential for monitoring recent sales activity. Lists all orders in your store
list_pages
) from the Jumpseller store. Useful for auditing site content and navigation. Lists all pages in your store
list_payment_methods
g., PayPal, Stripe) in the store. Useful for auditing checkout options. Lists configured payment methods
list_products
Returns product names, SKUs, prices, and IDs. Use this to identify items for stock management or product analysis. Lists all products in your Jumpseller store
list_shipping_methods
Useful for auditing fulfillment logic and carrier configurations. Lists configured shipping methods
Example Prompts for Jumpseller in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jumpseller immediately.
"List all active products in my Jumpseller store."
"Show me the last 5 orders received."
"Check the details for customer ID '123'."
Troubleshooting Jumpseller MCP Server with Vercel AI SDK
Common issues when connecting Jumpseller to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJumpseller + Vercel AI SDK FAQ
Common questions about integrating Jumpseller 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.Connect Jumpseller 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 Jumpseller to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.