Jamf Pro MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jamf Pro through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Jamf Pro, 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 Jamf Pro MCP Server
Empower your AI agents to manage your Apple ecosystem with Jamf Pro. This MCP server allows you to list mobile devices and computers, track inventory details, manage users and buildings, and view management scripts and packages directly through the Jamf Pro API. Ideal for automating IT operations and device management.
The Vercel AI SDK gives every Jamf Pro tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Jamf Pro MCP Server exposes 10 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.
How to Connect Jamf Pro to Vercel AI SDK via MCP
Follow these steps to integrate the Jamf Pro MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Jamf Pro and passes them to the LLM
Why Use Vercel AI SDK with the Jamf Pro MCP Server
Vercel AI SDK provides unique advantages when paired with Jamf Pro 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 Jamf Pro integration everywhere
Built-in streaming UI primitives let you display Jamf Pro 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
Jamf Pro + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jamf Pro MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jamf Pro in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jamf Pro tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jamf Pro capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jamf Pro through natural language queries
Jamf Pro MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jamf Pro to Vercel AI SDK via MCP:
get_computer
Includes disk encryption status, installed apps, and user info. Use this for detailed Mac auditing. Retrieves details for a specific computer
get_mobile_device
Includes OS version, security status, and assigned user. Use this for deep investigation of a specific mobile asset. Retrieves details for a specific mobile device
list_buildings
Useful for auditing site-based device distribution. Lists all configured buildings
list_categories
Useful for navigating the management hierarchy. Lists all management categories
list_computers
Includes computer names, IDs, and serial numbers. Essential for auditing the Mac fleet. Lists all managed computers
list_departments
Use this to analyze device distribution by business unit. Lists all configured departments
list_mobile_devices
Returns device names, IDs, and models. Use this to audit the mobile device fleet. Lists all managed mobile devices
list_packages
pkg, .dmg) available in the Jamf Pro distribution points. Useful for auditing available software deployments. Lists all software packages
list_scripts
) stored in Jamf Pro for remote execution. Useful for auditing custom automation assets. Lists all management scripts
list_users
Useful for identifying which users are associated with specific devices. Lists all users in the system
Example Prompts for Jamf Pro in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jamf Pro immediately.
"List all computers managed in Jamf Pro."
"Show me details for mobile device ID '456'."
"List all management scripts configured in the system."
Troubleshooting Jamf Pro MCP Server with Vercel AI SDK
Common issues when connecting Jamf Pro to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJamf Pro + Vercel AI SDK FAQ
Common questions about integrating Jamf Pro 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.Connect Jamf Pro with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jamf Pro to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.