Integrate Kandji with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet device on Kandji
Essential for deep-dive auditing of a specific asset. Retrieves details for a specific device
Get organization on Kandji
Use to verify account identity. Retrieves details about your Kandji organization
List activity on Kandji
Essential for auditing system changes and recent management history. Lists recent management activity
List auto apps on Kandji
Essential for auditing standard software libraries. Lists all Kandji Auto Apps
List blueprints on Kandji
Useful for understanding how devices are categorized and configured. Lists all device blueprints
List commands on Kandji
g., Lock, Wipe, Restart) sent to managed devices. Useful for auditing remote actions. Lists recent MDM commands sent to devices
List custom apps on Kandji
Useful for auditing non-store software deployments. Lists all custom applications
List devices on Kandji
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 on Kandji
Useful for auditing available security controls. Lists all library parameters (policies)
List users on Kandji
Useful for identifying device owners and primary users. Lists all users associated with devices
Security & Code Integrity Audit
Every tool in the Kandji MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
What is the API URL?
The API URL is specific to your Kandji instance (e.g., https://yourtenant.api.kandji.io). You can find this in your Kandji API settings.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Kandji Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
LLM Orchestration for mdm
The Kandji toolkit translates Claude's commands into mdm operations. The MCP server ensures accurate delivery within the security compliance ecosystem.
LLM Orchestration for apple device management
The Kandji server supports direct MCP connections for apple device management. This provides Claude with the required permissions to execute security compliance functions.
Kandji. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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