How to Use the Lago MCP in Vercel AI SDK

Q: Can I use Lago to show invoice history in Vercel AI SDK?

Yes, use listinvoices to fetch customer records. The SDK streams this data into your frontend components instantly.

Q: Is my customer data secure when using Lago and Vercel AI SDK?

We use encrypted endpoints for all upsertcustomer calls. Your customer records stay isolated within the Vinkius sandbox during transit.

Directly stream usage data and billing events into your Vercel AI SDK interface without waiting for background syncs.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lago MCP to Vercel AI SDK

Create your Vinkius account to connect Lago to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lago with Vercel AI SDK

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Real-time billing updates in Vercel AI SDK

Feed live subscription data straight into your UI components using `get_subscription` and `list_invoices`. Your users see accurate billing status the moment the AI finishes processing the request. Stop forcing users to wait for page refreshes. By piping `list_invoices` results through your stream, you provide immediate transparency into their account status.

Manage customer plans through this MCP Server

Define new pricing tiers or adjust existing ones on the fly with `create_plan` and `create_billable_metric`. Your agent updates your product catalog without you ever touching the dashboard. Just define the metric parameters in your code and let the MCP Server handle the backend configuration. It keeps your billing logic synced with your product growth.

Capture usage events with Vercel AI SDK

Trigger `send_event` or `batch_events` directly from your edge functions based on user activity. This keeps your metering logic tightly coupled with your application code. Don't let event tracking become an afterthought. By calling these tools during the user's session, you ensure every action is logged without adding latency to your request cycle.

Setup guide

Set up Lago MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Lago tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Lago transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lago. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lago MCP in Vercel AI SDK

Install the MCP client and point it to your Vinkius endpoint. You then pass the tool definitions directly into your generateText or streamText calls.

Yes, use `list_invoices` to fetch customer records. The SDK streams this data into your frontend components instantly.

Yes, the Vinkius MCP Server endpoint is fully compatible with edge environments. Keep your billing logic close to your users.

You handle auth via the standard Vinkius endpoint token. The MCP client manages the handshake so your agent can focus on billing tasks.

We use encrypted endpoints for all `upsert_customer` calls. Your customer records stay isolated within the Vinkius sandbox during transit.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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