Compatible with every major AI agent and IDE
Create project on Avaza
Create a new project
Create task on Avaza
Create a new task in a project
Create timesheet on Avaza
Create a new timesheet entry
Get account check on Avaza
Verify Avaza account connection
Get project on Avaza
Get details for a specific project
List contacts on Avaza
List company contacts and users
List invoices on Avaza
List recent invoices
List projects on Avaza
List all Avaza projects
List tasks on Avaza
List all Avaza tasks
List timesheets on Avaza
List timesheet entries
Update task on Avaza
Update an existing task
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.
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.
Can the AI automatically log time for a specific project?
Yes! Use the create_timesheet tool. You'll need to provide the ProjectID, PersonID, and the duration to instantly log work hours in your Avaza account.
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.
Automated Workflows using Avaza
The Avaza MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
AI Semantic Routing for time tracking
Integrate time tracking features into your LLM framework using Avaza. The MCP server ensures precise command execution across your customer relationship management stack.
Connecting invoicing with Cursor
Use Avaza to interface with invoicing via natural language. The toolkit provides Cursor with LLM-friendly schemas for customer relationship management tasks.
Avaza. 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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