Compatible with every major AI agent and IDE
Get user on JumpCloud
Returns account metadata, group memberships, and security settings. Use this for detailed user vetting or before making administrative changes. Retrieves details for a specific user
List applications on JumpCloud
Useful for auditing software access and identifying which SaaS apps are integrated. Lists all configured SSO applications
List commands on JumpCloud
Useful for auditing automation scripts. Lists saved management commands
List directories on JumpCloud
Useful for auditing identity source configurations. Lists all configured directories (LDAP, AD, Google, etc)
List networks on JumpCloud
Useful for auditing WiFi and VPN authentication settings. Lists all RADIUS networks
List policies on JumpCloud
g., Disk Encryption, Firewall) defined in JumpCloud. Essential for auditing security compliance across the fleet. Lists all system security policies
List system groups on JumpCloud
g., "Production Servers", "Employee Laptops"). Useful for identifying device cohorts for policy application. Lists all system groups
List systems on JumpCloud
Returns hostnames, IDs, and OS versions. Use this to audit company hardware and device compliance. Lists all systems managed by JumpCloud
List user groups on JumpCloud
g., Marketing, Developers) configured in JumpCloud. Useful for understanding the organizational structure and access control policies. Lists all user groups
List users on JumpCloud
Returns usernames, IDs, and account status. Use this as the primary entry point for user auditing and identity management. Lists all users in JumpCloud
How Vinkius protects your data
Can I see managed systems?
Yes, the list_systems tool allows you to retrieve a list of all devices currently managed by your JumpCloud account.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
JumpCloud Capabilities for AI Assistants
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the JumpCloud MCP server to manage operations across the following domains.
LLM Orchestration for directory services
Connect JumpCloud to your AI agents (Claude, ChatGPT, Cursor) to manage directory services operations. The MCP server processes the underlying API requests and schema formatting for the fort knox domain.
LLM Orchestration for sso
The JumpCloud toolkit provides secure access to sso functions. It enables conversational agents to manage fort knox settings deterministically.
JumpCloud. 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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