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How to Use the Holded MCP in Vercel AI SDK

Stream Holded data directly into your UI. Build real-time business apps with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Holded MCP to Vercel AI SDK

Create your Vinkius account to connect Holded 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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Build Live Business Dashboards

Stop forcing users to refresh the page. Use the Vercel AI SDK to stream data from `list_invoices` and `list_projects` directly into your React or Next.js components. The UI populates as the data arrives. This isn't just a static API call; it's a live data feed powered by the MCP server. You can build dashboards that show your clients an up-to-the-second view of their account activity, project status, or outstanding balances. It feels fast because it is.

Create Interactive Contact Forms

Let your users manage their Holded contacts without leaving your app. When a user asks your agent to "pull up John Doe's info," your app can use `get_contact_details` and stream the results right into the input fields of a form. This means no more copy-pasting for your users or context-switching between tabs. The AI does the fetching, and the Vercel AI SDK renders the data instantly. It’s a clean, direct way to interact with business data.

Real-Time Inventory Updates

Connect your UI directly to your inventory. A user can click a button in your app to trigger the `update_product_stock` tool, and the change happens immediately in Holded. Then, you can confirm the change by calling `get_product_details` and streaming the new stock count back to the UI. The whole process is visible to the user in real-time, confirming their action worked without a page load or waiting for a spinner.

Setup guide

Set up Holded 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Holded transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Holded. 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.

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 Holded MCP in Vercel AI SDK

First, install the packages: `npm install ai @ai-sdk/mcp`. Then, use `createMCPClient` to connect to the server URL provided by Vinkius. You can then pass the tools from `mcpClient.tools()` into your `generateText` or `streamText` calls.
Yes. You'll call `streamText` and prompt your agent to use the `list_invoices` tool. The Vercel AI SDK will stream the tool's output, allowing you to render each invoice in your UI as it's received from the Holded API.
Your frontend code will trigger an AI call that uses the `update_product_stock` tool. You'll need to provide the product ID and the new stock quantity. The AI agent handles the API call through the MCP server.
Have your agent use the `list_contacts` tool first. This gives you a list of all contacts and their corresponding IDs. Once you have the ID, you can use `get_contact_details` to pull the full profile for that specific person or company.
Your data, such as invoice details and contact profiles, is passed through a stateless, ephemeral sandbox on Vinkius. The server itself stores nothing; it's just a secure pipe from your Vercel AI SDK application to the Holded API. All connections are encrypted and your Vinkius token handles authentication.

Start using the Holded MCP today

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