Ecwid 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 Ecwid 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 Ecwid, 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 Ecwid MCP Server
Connect your Ecwid by Lightspeed store to any AI agent and take full control of your e-commerce operations and catalog management through natural conversation.
The Vercel AI SDK gives every Ecwid 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.
What you can do
- Catalog Orchestration — Extract explicit catalog nodes evaluating exact pricing constraints and filtering arrays directly to find products by ID or keyword
- Inventory Management — Command explicit mutation endpoints dropping rigid inventory payloads to reset physical stock levels and modify literal product states
- Order Auditing — List actual completed or pending logical bounds exposing payment constraints, fulfillment statuses, and detailed buyer financial logs
- Customer Oversight — Resolve bounded authentication profiles tracking literal historical order arrays and parsing explicit buyer context natively
- Structural Taxonomy — Map exact relational taxonomy nodes tracking explicit structural hierarchies properly parsing tree configurations for categories
- Store Profile Management — Extract static store globals identifying specific timezone configurations and retrieving precise store formats seamlessly
- Marketing & Coupons — Evaluate distinct discounting rules bypassing physical order contexts to check pure coupon boundaries and rules
- App Data Retrieval — Request explicit localized string boundaries discovering precise custom payload configurations configured in app storage
The Ecwid 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 Ecwid to Vercel AI SDK via MCP
Follow these steps to integrate the Ecwid 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 Ecwid and passes them to the LLM
Why Use Vercel AI SDK with the Ecwid MCP Server
Vercel AI SDK provides unique advantages when paired with Ecwid 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 Ecwid integration everywhere
Built-in streaming UI primitives let you display Ecwid 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
Ecwid + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ecwid MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ecwid in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ecwid tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ecwid capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ecwid through natural language queries
Ecwid MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Ecwid to Vercel AI SDK via MCP:
get_app_storage
Get application storage value from Ecwid by key (useful for custom app state)
get_order
Get Ecwid order by ID/Number
get_product
Returns full details: pricing, variations, attributes, choices, and SEO info. Get Ecwid product by ID
get_profile
Get Ecwid store profile configuration
list_categories
List Ecwid product categories
list_coupons
List Ecwid discount coupons
search_customers
Search Ecwid customers
search_orders
Returns order numbers, totals, fulfillment status, payment status, and buyer details. Search Ecwid orders
search_products
Returns product IDs, names, prices, SKUs, inventory, and images. Search Ecwid products
update_inventory
Update Ecwid product inventory quantity
Example Prompts for Ecwid in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ecwid immediately.
"Search for products containing 't-shirt' in my store"
"Set inventory for product 12345 to 50 units"
"Show me the last 3 orders from yesterday"
Troubleshooting Ecwid MCP Server with Vercel AI SDK
Common issues when connecting Ecwid to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEcwid + Vercel AI SDK FAQ
Common questions about integrating Ecwid 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 Ecwid 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 Ecwid to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.