Compatible with every major AI agent and IDE
Create enrollment invitation on HID Origo
Pass the invitation details as a JSON string in "body_json" (requires userId and partNumber). Send a new invitation to a user for mobile identity enrollment
Get audit log events on HID Origo
Useful for security monitoring and troubleshooting enrollment issues. Retrieve the history of administrative and access events
Get mobile identity on HID Origo
Get details for a specific mobile identity
Get organization info on HID Origo
Retrieve metadata and configuration for your HID Origo organization
Get user details on HID Origo
Get detailed information for a specific user ID
List access readers on HID Origo
List all IoT readers and door controllers connected to HID Origo
List identity groups on HID Origo
List identity groups used for access control policies
List identity invitations on HID Origo
List all invitations sent for mobile identity enrollment
List identity users on HID Origo
Use this to find the user ID for credential or mobile identity assignment. List all users managed in the HID Origo tenant
List mobile identities on HID Origo
Monitor issuance and activation status. List all issued mobile identities (digital cards)
List physical credentials on HID Origo
List physical access credentials (cards, fobs) managed in the system
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.
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.
Is the integration secure for access control data?
Absolutely. The integration uses industry-standard OAuth 2.0 Client Credentials over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.
What can AI Agents do with HID Origo?
The HID Origo integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Cursor Copilot for mobile identity
Integrate the HID Origo server to handle mobile identity requests natively. It provides the schemas required for ChatGPT and Cursor to manage cloud infrastructure data.
Secure access management Access for Agents
Add HID Origo to your workspace to support access management automation. The integration processes the required parameters for cloud infrastructure execution by LLMs.
HID Origo. 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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