Compatible with every major AI agent and IDE
Create journal entry on Lunatask
Add a new journal entry
Create new task on Lunatask
Requires a name and an area_id. Create a new task
Delete task on Lunatask
Delete a task
Get task metadata on Lunatask
Get metadata for a specific task
List notes metadata on Lunatask
List metadata for all notes
List tasks metadata on Lunatask
Note: Due to encryption, names and notes are not available via API. List metadata for all tasks
Track habit completion on Lunatask
Log a completion for a habit
Update existing task on Lunatask
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.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Why can't the agent read my task names?
Lunatask uses end-to-end encryption. Task names and note bodies are encrypted on your device before being sent to the server. The API only has access to metadata like IDs and statuses.
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.
Automated Workflows using Lunatask
Add the Lunatask tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Scaling task management via MCP
Add task management functionality to your custom chatbots. The Lunatask MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
ChatGPT habit tracking Automation
Integrate Lunatask for AI-driven habit tracking management. The MCP server structures the outputs required for Claude to analyze productivity data.
Lunatask. 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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