Zentitle2 MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Activation Code, Create Customer, Create Entitlement, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zentitle2 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 Zentitle2 app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 11 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 Zentitle2, 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 Zentitle2 MCP Server
Connect your Zentitle2 licensing account to any AI agent and simplify how you provision software, manage customer rights, and track activation codes through natural conversation.
The Vercel AI SDK gives every Zentitle2 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Customer Management — List and create customer records to organize your user base.
- Entitlement Provisioning — Grant and manage software rights (licenses) to specific customers for your products.
- Activation Logic — List and generate new activation codes to facilitate software deployment.
- Product Catalog — Browse your licensed products and features to understand your offering.
- Management Overview — Retrieve account metadata and monitor your licensing operations in real-time.
The Zentitle2 MCP Server exposes 11 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 11 Zentitle2 tools available for Vercel AI SDK
When Vercel AI SDK connects to Zentitle2 through Vinkius, your AI agent gets direct access to every tool listed below — spanning software-licensing, entitlement-management, feature-gating, 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.
Generate a new activation code
Create a new customer in Zentitle2
Provision a new entitlement
Get details of an activation code
Get details of a specific customer
Get details of a specific entitlement
Get management account information
List activation codes
List Zentitle2 customers
List licensing entitlements
List licensed products
Connect Zentitle2 to Vercel AI SDK via MCP
Follow these steps to wire Zentitle2 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 Zentitle2 MCP Server
Vercel AI SDK provides unique advantages when paired with Zentitle2 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 Zentitle2 integration everywhere
Built-in streaming UI primitives let you display Zentitle2 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
Zentitle2 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zentitle2 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zentitle2 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zentitle2 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zentitle2 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zentitle2 through natural language queries
Example Prompts for Zentitle2 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zentitle2 immediately.
"List all customers registered in Zentitle2."
"Create a new license (entitlement) for product 'P-100' for customer 'C-552'."
"Generate an activation code for entitlement 'ENT-99023'."
Troubleshooting Zentitle2 MCP Server with Vercel AI SDK
Common issues when connecting Zentitle2 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZentitle2 + Vercel AI SDK FAQ
Common questions about integrating Zentitle2 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.