Jamf Pro MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Jamf Pro through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Jamf Pro Assistant",
instructions=(
"You help users interact with Jamf Pro. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jamf Pro"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Jamf Pro through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jamf Pro, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Jamf Pro MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Jamf Pro MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Jamf Pro
Why Use OpenAI Agents SDK with the Jamf Pro MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jamf Pro through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Jamf Pro + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jamf Pro MCP Server delivers measurable value.
Automated workflows: build agents that query Jamf Pro, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jamf Pro, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jamf Pro tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jamf Pro to resolve tickets, look up records, and update statuses without human intervention
Jamf Pro MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jamf Pro to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Jamf Pro to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jamf Pro + OpenAI Agents SDK FAQ
Common questions about integrating Jamf Pro MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.