How to Use the Hiveage MCP in Vercel AI SDK

Q: How do I set up the Hiveage MCP tool registry inside a Vercel AI SDK project?

Install @ai-sdk/mcp and initialize the client using createMCPClient with the Vinkius URL. Then, pass mcpClient.tools() directly into the tools parameter of generateText or streamText. Remember to call mcpClient.close() once the execution finishes to prevent memory leaks in your Edge Functions.

Q: How do I handle customer lookups before issuing an invoice?

Your agent can call listcustomers to find the correct network connection ID. Once found, it uses getcustomerdetails to pull the profile and confirm the billing address is correct before generating any estimates.

Feed real-time billing data and invoice updates directly into your Next.js frontend with the Vercel AI SDK.

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Connect Hiveage MCP to Vercel AI SDK

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

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Render live Hiveage invoice updates via Vercel AI SDK

Your frontend renders live billing data instantly when your Vercel AI SDK client invokes the `get_invoice_details` tool. The user sees line items, totals, and balances as the model streams them directly into your React components. This setup runs completely on Vercel Edge functions, bypassing intermediate API layers. You call `list_invoices` to grab the necessary keys, and the model formats the raw JSON payload directly into your live UI.

Verify customer records and tax profiles instantly

Verify that customer profiles are completely accurate inside your Next.js application by having your agent call the `get_customer_details` tool. Your Vercel AI SDK interface checks physical addresses and tax configurations against your active `list_tax_profiles` tool. This prevents billing mistakes before they happen on your client-facing dashboard. Your users watch these validation steps happening live, ensuring the correct tax rates apply to every single transaction.

Log manual payments and trigger emails from the UI

Post transaction details directly to your billing dashboard using the `record_payment` tool. The Vercel AI SDK handles the payment flow and immediately triggers `send_invoice_email` to notify the customer. The entire invoicing flow executes in a single streaming session. Your users watch the payment record change from unpaid to paid in real-time, with visual confirmation the second the receipt email goes out.

Setup guide

Set up Hiveage 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 Hiveage 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 Hiveage 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 Hiveage. 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 Hiveage MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client using `createMCPClient` with the Vinkius URL. Then, pass `mcpClient.tools()` directly into the `tools` parameter of `generateText` or `streamText`. Remember to call `mcpClient.close()` once the execution finishes to prevent memory leaks in your Edge Functions.

Yes, that is the main benefit of this setup. When the model invokes `record_payment` or `list_invoice_payments`, the tool execution state and return values stream directly to the client. You can catch these tool calls in your UI components to show immediate progress indicators.

It does. The MCP client connects via standard HTTP or SSE transports, which are fully compatible with Vercel's Edge network. You can run lightweight billing agents without the overhead of heavy Node.js servers.

Your agent can call `list_customers` to find the correct network connection ID. Once found, it uses `get_customer_details` to pull the profile and confirm the billing address is correct before generating any estimates.

Your invoice details, customer profiles, and tax records are strictly isolated. Vinkius runs each connection in an ephemeral V8 sandbox, meaning your API keys and financial transaction logs are never stored or exposed to other tenants.

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