How to Use the Jamf Pro MCP in Mastra AI

Automate Jamf Pro device workflows with Mastra AI and robust agentic logic.

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Connect Jamf Pro MCP to Mastra AI

Create your Vinkius account to connect Jamf Pro to Mastra AI 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 Jamf Pro with Mastra AI

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Perplexity

Mastra AI automated fleet reporting

Build complex workflows that chain `list_computers` with conditional logic. If a device fails a security check, your agent can automatically flag it for review. This setup handles branching paths for your IT operations. It moves beyond simple lookups into active management of your device lifecycle.

Inventory management via Mastra AI

Organize your hardware audit with `list_mobile_devices` and `list_packages`. Mastra AI agents use these tools to verify that every machine has the required software installed. When a package is missing, the agent triggers a remediation script. You keep your fleet compliant without manual intervention.

Conditional device auditing

Use `get_computer` to verify if a machine is encrypted before allowing access to sensitive resources. Mastra AI agents evaluate this status during your authentication workflows. If the tool returns an unencrypted status, your agent can block the request immediately. It secures your infrastructure based on real-time Jamf Pro data.

Setup guide

Set up Jamf Pro MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Jamf Pro tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "jamf-pro-mcp-client",
  servers: {
    "jamf-pro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Jamf Pro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Jamf Pro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Jamf Pro transactions"
);
console.log(result.text);

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Why Choose Vinkius

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Common questions about Jamf Pro MCP in Mastra AI

Mastra AI natively supports exponential backoff for tool execution. If a Jamf Pro request hits a rate limit, the agent waits and tries again automatically.

Simply spread the tools from the MCP client into your agent definition. Mastra AI handles the registration and exposes them to your workflow engine.

Yes, enable the approval flag in your agent configuration. This forces a pause before any tool execution, keeping you in control of critical changes.

The agent calls the relevant tool at each step of the workflow. This ensures that every decision relies on the most current data from your management instance.

The server only reads device IDs and hardware metadata. Your Jamf Pro records stay within the secure, ephemeral memory of your agent's current task.

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