How to Use the Billit MCP in Vercel AI SDK

Q: How do I connect Billit to Vercel AI SDK?

Install the @ai-sdk/mcp package and use createMCPClient to point to your Vinkius MCP Server endpoint. Pass the tools directly into streamText to let your LLM run queries like listinvoices on demand.

Q: Does the Vercel AI SDK support streaming for Billit invoice generation?

Yes. When your agent invokes createinvoice, the data streams directly back to your React or Svelte frontend, letting you render the invoice details live.

Q: How does the Vercel AI SDK handle Billit tool errors?

If a tool like getparty fails due to a missing ID, the error passes straight to the SDK's execution context. You can then display a fallback state in your UI.

Stream Billit e-invoicing data directly into your React components in real-time using the Vercel AI SDK.

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Connect Billit MCP to Vercel AI SDK

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

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Live Billit Invoice Rendering with Vercel AI SDK

This MCP Server exposes invoice tools to let your React frontends query and display billing data instantly. When your client triggers `list_invoices` or `get_invoice`, the raw JSON feeds right into your UI components without making the user stare at a blank screen or a loading spinner. You write the UI, and the SDK handles the plumbing. Passing `get_company_info` to your streaming text block means your client can build live expense dashboards that update on the edge as fast as the network allows.

Instant Customer Creation on the Edge

The `create_party` tool lets you register new customers in Billit directly from a customer-facing chat input. Since Vercel AI SDK runs on edge functions, this setup avoids cold starts and registers clients without lagging. Once the client runs `get_party` to check the details, the UI updates the customer profile card live. No backend polling or complex state management needed on your part.

Real-Time Product and Expense Lookups

The `list_products` and `list_expenses` tools give your edge-rendered AI agent immediate access to your entire catalog and spending history. Your users can ask questions about inventory prices, and the agent pulls the exact numbers from Billit on the fly. By streaming the output of `create_invoice` through your Next.js frontend, this MCP Server makes the billing interface feel fast and responsive. Users watch their bill generate line-by-line.

Setup guide

Set up Billit 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 Billit 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 Billit 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 Billit. 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.

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Common questions about Billit MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and use `createMCPClient` to point to your Vinkius MCP Server endpoint. Pass the tools directly into `streamText` to let your LLM run queries like `list_invoices` on demand.

Yes. When your agent invokes `create_invoice`, the data streams directly back to your React or Svelte frontend, letting you render the invoice details live.

Absolutely. The Vinkius MCP Server handles the actual connection to the Billit API, meaning your edge functions stay lightweight and fast without heavy dependency bundles.

If a tool like `get_party` fails due to a missing ID, the error passes straight to the SDK's execution context. You can then display a fallback state in your UI.

Your invoice records and expense details are never stored on Vercel or Vinkius. The MCP Server acts as an ephemeral proxy, passing data directly between your edge runtime and the Billit API over secure HTTPS.

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