Compatible with every major AI agent and IDE
Create timeline task on Toggl Plan
Requires workspace ID, task name, and project ID. Creates a new task on the Toggl Plan timeline
Delete timeline task on Toggl Plan
This action is irreversible. Permanently deletes a task from the timeline
Get project details on Toggl Plan
Retrieves details for a specific project
Get task details on Toggl Plan
Retrieves details for a specific timeline task
List milestones on Toggl Plan
Lists all project milestones
List timeline tasks on Toggl Plan
Requires a workspace ID. Lists all tasks on the Toggl Plan timeline for a specific workspace
List workspace projects on Toggl Plan
Lists all projects in a specific Toggl Plan workspace
List workspace tags on Toggl Plan
Lists all tags used for task categorization
List workspace users on Toggl Plan
Lists all users with access to the workspace
Update timeline task on Toggl Plan
Provide updates as a JSON object. Updates an existing timeline 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.
Are there any data sync delays when updating timelines with the agent?
No. Toggl Plan's API ensures immediate reflection of all timeline and milestone changes. When the agent updates a task or resource allocation, it instantly appears in the web interface for all workspace users without any caching delays.
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 Toggl Plan
Securely interface Claude Code, ChatGPT, and Cursor with the Toggl Plan API through semantic routing and standardized natural language triggers.
Next-Gen timeline planning Automation
Integrate timeline planning features into your LLM framework using Toggl Plan. The MCP server ensures precise command execution across your productivity stack.
Connecting capacity tracking with Cursor
Add capacity tracking functionality to your custom chatbots. The Toggl Plan MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
Toggl Plan. 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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