How to Use the Invoiced MCP in Vercel AI SDK

Q: How do I trigger createinvoice in Invoiced using Vercel AI SDK?

Pass the tool to streamText and let your Vercel AI SDK agent parse the line items into the required JSON array. The SDK handles the execution and streams the resulting Invoiced data back to your React frontend.

Q: Can I show Invoiced credit notes using Vercel AI SDK?

Yes, you call listcreditnotes to get the data and stream it directly to your Vercel AI SDK frontend. The SDK handles the real-time rendering so your users see their Invoiced credits instantly.

Build real-time billing dashboards with Vercel AI SDK that stream live Invoiced data directly to your users.

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Connect Invoiced MCP to Vercel AI SDK

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

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Stream live client accounts in Vercel AI SDK

`get_customer` instantly pulls Invoiced profiles and injects them directly into your Vercel AI SDK stream. Your AI client pulls the profile, maps the fields, and updates the DOM without making the user stare at a spinning wheel. This setup bypasses traditional loading states by using Edge Functions to fetch Invoiced data on the fly. You run `list_customers` to display accounts, letting your Vercel AI SDK users browse their billing history with zero latency.

Draft Invoiced bills directly inside your chat UI

`create_invoice` processes line items via a JSON array containing the name, quantity, and unit cost. The Vercel AI SDK streams the generated Invoiced object straight to your user's viewport so they can review the layout immediately. If the draft needs a quick fix, your Vercel AI SDK agent calls `get_invoice` to pull the fresh record. This direct connection ensures your front-end state matches your actual Invoiced ledger instantly.

Render Invoiced payment histories without page reloads

`list_payments` retrieves the entire transaction history for any Invoiced account in your database. The Vercel AI SDK feeds these transactions straight into your dashboard components as they load, keeping your ledger view updated. You can also call `list_credit_notes` to display active credits alongside outstanding balances in your Vercel AI SDK layout. This approach keeps your billing interface responsive because the MCP Server handles the raw data fetching behind the scenes.

Setup guide

Set up Invoiced 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 Invoiced 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 Invoiced transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Invoiced. 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 Invoiced MCP in Vercel AI SDK

Pass the tool to `streamText` and let your Vercel AI SDK agent parse the line items into the required JSON array. The SDK handles the execution and streams the resulting Invoiced data back to your React frontend.

Yes, this MCP Server works with Edge runtimes because it relies on lightweight HTTP transport. You can fetch Invoiced payment records and stream them to your Next.js frontend without hitting cold start delays.

Vinkius manages the API keys for Invoiced in a secure V8 sandbox. Your Vercel AI SDK client only needs to pass a single endpoint token to execute MCP tools like `list_customers`.

Yes, you call `list_credit_notes` to get the data and stream it directly to your Vercel AI SDK frontend. The SDK handles the real-time rendering so your users see their Invoiced credits instantly.

Yes, because all customer profiles, invoices, and payments stay isolated within an ephemeral sandbox. The MCP Server executes inside Vinkius, meaning your Vercel AI SDK environment never handles raw API keys.

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