How to Use the Hudu MCP in Vercel AI SDK

Q: Can the Vercel AI SDK handle multiple Hudu records at once?

Yes. You can chain calls to listpasswords and listassets within a single request, letting the agent process complex infrastructure queries in one pass.

Stream real-time Hudu documentation directly into your Vercel AI SDK frontends for live, interactive IT infrastructure management.

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…and any MCP-compatible client

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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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Live Documentation Retrieval in AI SDK

Feed your UI with live data by piping the Hudu MCP Server straight into your streamText calls. You get instant access to `get_password` and `get_article` results that appear in your React or Next.js components as they arrive. Stop waiting for loading spinners. By using the Vercel AI SDK, your application renders Hudu data the millisecond it hits the wire, keeping your dashboard state perfectly synced with your vault.

Dynamic Asset Management via MCP Server

Create and track infrastructure components without leaving your code editor. Use `create_asset` to log new hardware directly from your application logic, ensuring your documentation stays as current as your deployment pipeline. Your agents can now perform administrative actions with `create_company` or `list_assets` programmatically. This bridges the gap between your frontend state and the source of truth in your IT records.

Granular Knowledge Base Access

Query your entire knowledge base using `list_procedures` or `get_procedure` to feed context-aware AI responses. The Vercel AI SDK handles the tool orchestration, allowing your agents to pull specific technical steps during active troubleshooting. Don't let your AI guess at configurations. By injecting these tools, you ensure your agent pulls exact, verified instructions from Hudu whenever it needs to explain a system change to an end user.

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.

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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

You install the MCP client package and point it at the Vinkius endpoint. From there, you pass the tool list into your generateText function to start executing commands.

Yes. You can chain calls to `list_passwords` and `list_assets` within a single request, letting the agent process complex infrastructure queries in one pass.

The server only transmits what you explicitly query. Sensitive strings like passwords are encrypted in transit and never stored in your application logs unless you explicitly write them there.

It does. The transport layer is designed to be lightweight, making it compatible with the constraints of serverless environments and edge compute.

You manage the API key provided during setup. The server respects the permissions tied to that specific key, ensuring your agent only sees what you allow.

Use it with your favorite AI tools

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