Compatible with every major AI agent and IDE
Add time entry on TrackingTime
Manual time entry
Create project on TrackingTime
Add new project
Create task on TrackingTime
Add new task
Get user profile on TrackingTime
Get current user
List customers on TrackingTime
List project clients
List projects on TrackingTime
List your projects
List tasks on TrackingTime
List your tasks
List time entries on TrackingTime
Get time logs
List workspace users on TrackingTime
List team members
Start timer on TrackingTime
Start tracking time
Stop timer on TrackingTime
Stop tracking time
Update task on TrackingTime
Modify task
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.
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 do I see my time logs for the last 7 days?
Run the list_time_entries query. Provide the fromDate and toDate in YYYY-MM-DD format to retrieve the full history of tracked blocks for that period.
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.
Supported Use Cases for TrackingTime
The TrackingTime integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
AI Semantic Routing for time tracking
Integrate time tracking features into your LLM framework using TrackingTime. The MCP server ensures precise command execution across your productivity stack.
Next-Gen timesheets Operations
The TrackingTime toolkit provides secure access to timesheets functions. It enables conversational agents to manage productivity settings deterministically.
TrackingTime. 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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