Integrate HiBob with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiComplete task on HiBob
Mark a specific task as completed
Get employee compensation on HiBob
Get detailed salary and benefit information for an employee
Get leave balance on HiBob
Get the leave balance for a specific employee
Get payroll history on HiBob
Retrieve platform payroll history
Get whos out on HiBob
List employees on leave for a specific date range
Invite employee on HiBob
Send a welcome invitation to a new employee
List company settings lists on HiBob
List custom dropdown and configuration lists used in the platform
List open tasks on HiBob
List all pending tasks across the company
List public profiles on HiBob
List basic contact information for all active employees
Request time off on HiBob
Pass the payload as a JSON string in "request_json" (requires policyType, startDate, endDate). Submit a new time off request for an employee
Search employees on HiBob
Pass search criteria as a JSON string in "search_json". Returns active employees by default. Search for employees using filters and retrieve profiles
Security & Code Integrity Audit
Every tool in the HiBob 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 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.
Is the integration secure for HR data?
Absolutely. The integration uses official HiBob Service User tokens over HTTPS. Your credentials and employee data are encrypted and stored securely within the Vinkius Cloud infrastructure.
What can AI Agents do with HiBob?
We map standard API endpoints to agent-compatible instructions. Connect HiBob to execute these core functional operations.
Next-Gen people management Automation
Integrate people management features into your LLM framework using HiBob. The MCP server ensures precise command execution across your productivity stack.
Streamlining time off tracking
Connect HiBob to your AI agents (Claude, ChatGPT, Cursor) to manage time off tracking operations. The MCP server processes the underlying API requests and schema formatting for the productivity domain.
HiBob. 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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