Bring Mobile Device Management
to Vercel AI SDK
Create your Vinkius account to connect Jamf Pro to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
Built-in capabilities (10)
Includes disk encryption status, installed apps, and user info. Use this for detailed Mac auditing. Retrieves details for a specific computer
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
Useful for auditing site-based device distribution. Lists all configured buildings
Useful for navigating the management hierarchy. Lists all management categories
Includes computer names, IDs, and serial numbers. Essential for auditing the Mac fleet. Lists all managed computers
Use this to analyze device distribution by business unit. Lists all configured departments
Returns device names, IDs, and models. Use this to audit the mobile device fleet. Lists all managed mobile devices
pkg, .dmg) available in the Jamf Pro distribution points. Useful for auditing available software deployments. Lists all software packages
) stored in Jamf Pro for remote execution. Useful for auditing custom automation assets. Lists all management scripts
Useful for identifying which users are associated with specific devices. Lists all users in the system
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Jamf Pro integration everywhere
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Built-in streaming UI primitives let you display Jamf Pro tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Jamf Pro in Vercel AI SDK
Why run Jamf Pro with Vinkius?
The Jamf Pro connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Jamf Pro using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Jamf Pro and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Jamf Pro to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Jamf Pro for Vercel AI SDK
Every request between Vercel AI SDK and Jamf Pro is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get Jamf Pro API credentials?
You need to create an API user in your Jamf Pro console under Settings > User Accounts & Groups. Ensure the user has the necessary privileges for the data you want to access.
What is the instance domain?
The domain is your Jamf Pro server URL (e.g., company.jamfcloud.com). You must provide this during setup.
Does it support the latest Jamf Pro API?
Yes, this MCP uses the Jamf Pro API v1 with Bearer token authentication.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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