Lago MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Apply Coupon, Batch Events, Create Billable Metric, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lago 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 Lago 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 Lago, 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 Lago MCP Server
Connect Lago to your AI agent to automate your metering and billing infrastructure. Lago is the open-source alternative to Stripe Billing, designed for complex usage-based pricing models.
The Vercel AI SDK gives every Lago 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
- Customer Management — Create and update customer profiles with
upsert_customerand retrieve details withget_customer. - Subscription Lifecycle — Assign plans to customers using
create_subscriptionand monitor them withget_subscription. - Billing Infrastructure — Define billing plans with
create_planand set upcreate_billable_metricto track consumption. - Usage Tracking — Send real-time usage data with
send_eventorbatch_eventsto trigger accurate billing. - Financial Operations — Manage wallets, apply coupons, and list invoices to keep your revenue operations running smoothly.
The Lago 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 Lago tools available for Vercel AI SDK
When Vercel AI SDK connects to Lago through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, metering, saas-metrics, 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.
Apply coupon on Lago
Apply a coupon to a customer
Batch events on Lago
Send a batch of usage events
Create billable metric on Lago
Create a billable metric
Create coupon on Lago
Create a coupon
Create plan on Lago
Create a new billing plan
Create subscription on Lago
Assign a plan to a customer (create subscription)
Create wallet on Lago
Create a wallet for prepaid credits
Get customer on Lago
Retrieve a customer by external ID
Get subscription on Lago
Retrieve a subscription by external ID
List invoices on Lago
List all invoices
Send event on Lago
Send a usage event
Upsert customer on Lago
Requires an external_id. Create or update a customer in Lago
Connect Lago to Vercel AI SDK via MCP
Follow these steps to wire Lago 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 Lago MCP Server
Vercel AI SDK provides unique advantages when paired with Lago 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 Lago integration everywhere
Built-in streaming UI primitives let you display Lago 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
Lago + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lago MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lago in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lago tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lago capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lago through natural language queries
Example Prompts for Lago in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lago immediately.
"Create a new customer in Lago with external ID 'user_123' and email 'dev@example.com'."
"Show me the subscription details for ID 'sub_98765'."
"List all invoices for my Lago account."
Troubleshooting Lago MCP Server with Vercel AI SDK
Common issues when connecting Lago to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLago + Vercel AI SDK FAQ
Common questions about integrating Lago 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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