Compatible with every major AI agent and IDE
Odoo create leave on Odoo HR
leave record in "draft" state. Requires the employee ID (from odoo_search_employees), leave type ID (from odoo_list_leave_types), and date range in format "YYYY-MM-DD HH:MM:SS". The request goes through the standard approval workflow. Use when the user wants to request time off for an employee. Submit a leave request for an employee with specific leave type, start date, and end date
Odoo list attendance on Odoo HR
attendance records ordered by check-in time descending. Returns employee name, check-in timestamp, check-out timestamp (if clocked out), and total worked hours. Use when the user asks about who is currently working, attendance history, or daily hours tracking. List employee attendance records (check-in/check-out times and worked hours) from Odoo
Odoo list departments on Odoo HR
department records showing the organizational structure. Returns department name, department manager, parent department (for hierarchy), and total employee count. Use when the user asks about org structure, department headcounts, or management hierarchy. List all departments in Odoo HR with their managers, parent departments, and headcount
Odoo list employees on Odoo HR
employee records — the full employee directory. Returns name, department, job title, work email, and direct manager for each employee. Use for a headcount overview, department composition analysis, or when the user wants to browse the org chart. List all employees in the Odoo HR directory with departments, job titles, and contact information
Odoo list expenses on Odoo HR
expense records ordered by date. Returns expense description, employee, state (draft/reported/approved/done/refused), total amount, and date. Use when the user asks about pending expense reports, reimbursement requests, or wants to review recent employee expenses. List employee expense reports in Odoo with amounts, approval status, and submission dates
Odoo list jobs on Odoo HR
job records — the defined job positions in the organization. Returns job title, department, number of open recruitments, and recruitment state. Use when the user asks about open positions, hiring pipeline, or workforce planning. List open job positions and recruitment status in Odoo HR with department and vacancy count
Odoo list leave types on Odoo HR
leave.type records — the categories of leave employees can request. Returns type name and configuration. Use to find the correct leave type ID before creating a leave request, or when the user asks what kinds of time off are available. List available leave types (Paid Time Off, Sick Leave, Unpaid, etc.) configured in Odoo HR
Odoo list leaves on Odoo HR
leave records ordered by date. Returns employee name, department, leave type (e.g., Paid Time Off, Sick Leave), state (draft/confirm/validate/refuse), number of days, and date range. Use when the user asks about upcoming absences, pending leave approvals, vacation schedules, or team availability. List leave requests (vacation, sick, personal days) in Odoo with approval status and duration
Odoo search employees on Odoo HR
employee records by name. Returns employee name, department, job title/position, work email, direct manager, and hire date. Use when the user wants to find a specific employee, look up their department or manager, or get contact details for an internal team member. Search employees in Odoo by name, returning their department, job title, email, and manager
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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 happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does it work with Odoo.com (SaaS)?
Yes! Works with both Odoo.com hosted instances and self-hosted Odoo servers. Just provide your instance URL and API key.
Supported Use Cases for Odoo HR
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Odoo HR infrastructure.
Claude Code Integration for employee management
The Odoo HR integration exposes LLM-friendly schemas for employee management. Tools like Cursor can map natural language directly into executable human resources commands.
Intelligent attendance tracking Management
The Odoo HR toolkit enables AI agents to execute attendance tracking commands. It handles protocol translation for human resources integrations natively.
Odoo HR. 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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