Kandji MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Kandji as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="kandji_agent",
tools=tools,
system_message=(
"You help users with Kandji. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Kandji MCP Server
Empower your AI agents with Kandji's modern Apple MDM platform. This MCP server allows you to list and retrieve device details, manage blueprints and custom apps, track administrative activity, and view system security parameters directly through the Kandji API. Ideal for automating IT operations and fleet security for macOS and iOS.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Kandji tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
The Kandji MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Kandji to AutoGen via MCP
Follow these steps to integrate the Kandji MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Kandji automatically
Why Use AutoGen with the Kandji MCP Server
AutoGen provides unique advantages when paired with Kandji through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Kandji tools to solve complex tasks
Role-based architecture lets you assign Kandji tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Kandji tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Kandji tool responses in an isolated environment
Kandji + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Kandji MCP Server delivers measurable value.
Collaborative analysis: one agent queries Kandji while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Kandji, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Kandji data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Kandji responses in a sandboxed execution environment
Kandji MCP Tools for AutoGen (10)
These 10 tools become available when you connect Kandji to AutoGen via MCP:
get_device
Essential for deep-dive auditing of a specific asset. Retrieves details for a specific device
get_organization
Use to verify account identity. Retrieves details about your Kandji organization
list_activity
Essential for auditing system changes and recent management history. Lists recent management activity
list_auto_apps
Essential for auditing standard software libraries. Lists all Kandji Auto Apps
list_blueprints
Useful for understanding how devices are categorized and configured. Lists all device blueprints
list_commands
g., Lock, Wipe, Restart) sent to managed devices. Useful for auditing remote actions. Lists recent MDM commands sent to devices
list_custom_apps
Useful for auditing non-store software deployments. Lists all custom applications
list_devices
Returns device names, IDs, and OS versions. Use this as the main tool for auditing the device fleet. Lists all managed Apple devices in Kandji
list_parameters
Useful for auditing available security controls. Lists all library parameters (policies)
list_users
Useful for identifying device owners and primary users. Lists all users associated with devices
Example Prompts for Kandji in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Kandji immediately.
"List all managed Mac computers in Kandji."
"Show me the details for device ID 'abc-123'."
"Check recent administrative activity in Kandji."
Troubleshooting Kandji MCP Server with AutoGen
Common issues when connecting Kandji to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Kandji + AutoGen FAQ
Common questions about integrating Kandji MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Kandji 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.
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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 Kandji to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.