Lemon Squeezy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Account Info, Get Order, Get Product, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lemon Squeezy 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 MCP Server for Vercel AI SDK
The Lemon Squeezy MCP Server for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Lemon Squeezy, 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 Lemon Squeezy MCP Server
Connect your Lemon Squeezy store to any AI agent and manage digital sales through natural conversation.
The Vercel AI SDK gives every Lemon Squeezy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Product Management — List products with variants, pricing, and sales data
- Order Tracking — Browse orders with status, amounts, and customer data
- Subscription Monitoring — Track active subscriptions, renewals, and churn
- Customer Database — List customers with purchase history and LTV
- Revenue Analytics — Monitor MRR, refund rates, and growth trends
- Store Management — Access store settings, checkout links, and discount codes
The Lemon Squeezy MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Lemon Squeezy tools available for Vercel AI SDK
When Vercel AI SDK connects to Lemon Squeezy through Vinkius, your AI agent gets direct access to every tool listed below — spanning saas-billing, merchant-of-record, tax-compliance, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get account info on Lemon Squeezy
Get account profile
Get order on Lemon Squeezy
Get order details
Get product on Lemon Squeezy
Get product details
Get subscription on Lemon Squeezy
Get subscription details
List customers on Lemon Squeezy
List all customers
List discounts on Lemon Squeezy
List promo codes
List orders on Lemon Squeezy
List all orders
List products on Lemon Squeezy
List all products
List stores on Lemon Squeezy
List all stores
List subscriptions on Lemon Squeezy
List all subscriptions
List variants on Lemon Squeezy
List all product variants
List webhooks on Lemon Squeezy
List configured webhooks
Connect Lemon Squeezy to Vercel AI SDK via MCP
Follow these steps to wire Lemon Squeezy into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Lemon Squeezy MCP Server
Vercel AI SDK provides unique advantages when paired with Lemon Squeezy 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 Lemon Squeezy integration everywhere
Built-in streaming UI primitives let you display Lemon Squeezy 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
Lemon Squeezy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lemon Squeezy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lemon Squeezy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lemon Squeezy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lemon Squeezy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lemon Squeezy through natural language queries
Example Prompts for Lemon Squeezy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lemon Squeezy immediately.
"Show all products with sales data and this month's revenue."
"Show active subscriptions and churn analysis."
"List customers sorted by LTV and show discount codes."
Troubleshooting Lemon Squeezy MCP Server with Vercel AI SDK
Common issues when connecting Lemon Squeezy to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLemon Squeezy + Vercel AI SDK FAQ
Common questions about integrating Lemon Squeezy 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.Explore More MCP Servers
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