How to Use the Hudu MCP in Vercel AI SDK

Q: Can I build a conversational knowledge base for Hudu with the Vercel AI SDK?

Yes. The listarticles and listprocedures tools are designed for this. Your agent can search your Hudu knowledge base and stream the content of relevant articles back to the user.

Build UIs that stream Hudu documentation and asset data directly into your Vercel AI SDK-powered frontend.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hudu MCP to Vercel AI SDK

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

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Claude

Perplexity

Live IT Dashboards in React

Stop showing spinners for IT data. This MCP Server lets your Vercel AI SDK app stream Hudu data directly into your UI components. Your agent can call `list_assets` or `list_networks`, and your users will see the tables populate in real time, line by line. It's perfect for building internal dashboards that feel alive. Imagine a support agent asking for a client's configuration and watching the details from `get_company` and `list_contacts` appear instantly. No waiting for a full API response to load.

Build a Helpdesk with the Vercel AI SDK

Create a conversational interface for your IT documentation. Your agent can use `list_articles` and `list_procedures` to find and display troubleshooting guides right inside your app's chat window. Because the AI SDK streams the response, the user gets instructions as they're found. It feels like a real person is looking up the answer for them, not a bot. This is how you build support tools that people actually want to use.

Real-Time Website Status Monitoring

Give your team a live view of managed websites. Connect your AI client to Hudu and use the `list_websites` tool to pull status information. The data streams directly into your frontend, so updates appear as they happen. You can build a simple status page or a more complex monitoring tool. The agent queries Hudu, and the Vercel AI SDK handles rendering the data stream. It's a straightforward way to make operational data visible.

Setup guide

Set up Hudu 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 Hudu 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 Hudu 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 Hudu. 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.

Connect Hudu now

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 Hudu MCP in Vercel AI SDK

After connecting the MCP Server, your agent will have access to the `list_assets` tool. You can then ask your agent in plain English to "show all assets for Company X," and it will stream the results into your UI.

Yes. The `list_articles` and `list_procedures` tools are designed for this. Your agent can search your Hudu knowledge base and stream the content of relevant articles back to the user.

Absolutely. The server is a standard MCP endpoint. You can call it from anywhere, including Vercel Edge Functions, for low-latency responses.

The main benefit is the pre-built tool definitions and streaming integration. Your agent understands what `list_passwords` does without you writing any custom code, and the results stream into your components automatically.

The server only passes through data requested by your agent, like passwords or contact details. Vinkius uses ephemeral, sandboxed containers for each request and never logs the content of the API responses. Your Hudu API key is encrypted at rest.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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