How to Use the Billplz MCP in Vercel AI SDK

Stream Billplz payment data directly into your React UI using Vercel AI SDK for real-time customer billing status.

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Connect Billplz MCP to Vercel AI SDK

Create your Vinkius account to connect Billplz 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 Billplz with Vercel AI SDK

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Live Billplz updates in Vercel AI SDK

Pipe live payment status into your frontend components. When your app needs to show a user their latest invoice, the `get_bill` tool pulls the data into your stream without a page refresh. You build interfaces that react to money moves instantly. Your users see bill details populate their dashboard the second the AI finishes the API request.

Automated collection management via AI SDK

Trigger `create_collection` or `activate_collection` directly from your server-side logic. This lets your app spin up new payment buckets based on user activity. Everything stays in sync with your database. You don't need to manually check the dashboard because your code handles the setup through the SDK's tool execution.

Transaction monitoring for React apps

Call `list_transactions` to track incoming cash flow for specific bills. Your components render the transaction history as the AI agent fetches it from the server. Errors vanish when you handle payment verification in-stream. Your UI stays responsive while the background process checks the bank status.

Setup guide

Set up Billplz 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 Billplz 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 Billplz 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 Billplz. 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

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Common questions about Billplz MCP in Vercel AI SDK

Use the MCP client to fetch bill info and stream the result into your React state. Your components update as soon as the tool returns the payment details.

Yes, you can initiate collections and create bills using the provided tools. Your agent performs the necessary API calls while you manage the UI flow.

It does. Since the connection relies on a standard transport, your edge functions can execute tools without any extra configuration.

The tool returns an error you can catch in your code. You should build a fallback UI to notify the user of the failed request.

Vinkius handles the connection through an isolated sandbox. Your transaction records stay private and never touch the AI model's training set.

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