Hudu MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Asset, Create Company, Get Article, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hudu through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Hudu app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Hudu, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Hudu MCP Server
Connect your Hudu instance to any AI agent and manage your IT documentation through natural conversation.
The Vercel AI SDK gives every Hudu tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Company Management — List all client companies, inspect profiles, and create new company records
- Asset Tracking — Browse all assets (servers, workstations, network devices), filter by company, inspect details, and create new asset records with tags
- Password Vault — List stored passwords filtered by company, and securely retrieve individual password entries with secrets
- Knowledge Base — Browse all articles and read full content with metadata for any specific article
- Procedures & Checklists — List all procedures filtered by company and inspect detailed steps for operational checklists
The Hudu MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Hudu tools available for Vercel AI SDK
When Vercel AI SDK connects to Hudu through Vinkius, your AI agent gets direct access to every tool listed below — spanning it-documentation, asset-tracking, password-vault, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires asset name and company ID. Create a new asset
Requires a name. Create a new company
Get details for a specific article
Get details for a specific asset
Get details for a specific company
Get details for a specific password
Get details for a specific procedure
List knowledge base articles
Can be filtered by company ID. List assets
List all companies in Hudu
Can be filtered by company ID. List passwords
Can be filtered by company ID. List procedures
Connect Hudu to Vercel AI SDK via MCP
Follow these steps to wire Hudu into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Hudu MCP Server
Vercel AI SDK provides unique advantages when paired with Hudu through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Hudu integration everywhere
Built-in streaming UI primitives let you display Hudu tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Hudu + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hudu MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hudu in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hudu tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hudu capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hudu through natural language queries
Example Prompts for Hudu in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hudu immediately.
"Show all companies and the assets for 'Acme Corp', then retrieve the admin password."
"Search the knowledge base for articles about VPN setup and show the firewall procedures."
"Create a new company 'TechStart Inc' and add a server asset to it."
Troubleshooting Hudu MCP Server with Vercel AI SDK
Common issues when connecting Hudu to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHudu + Vercel AI SDK FAQ
Common questions about integrating Hudu MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.