Integrate Toggl Plan with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate milestone on Toggl Plan
Creates a new milestone diamond on the timeline
Create timeline task on Toggl Plan
Provide name, start_date, and end_date (YYYY-MM-DD). Creates a new task/segment on the Toggl Plan timeline
Delete timeline task on Toggl Plan
This action is irreversible. Permanently deletes a task from the timeline
Get task details on Toggl Plan
Retrieves details for a specific timeline task
Get timeline view on Toggl Plan
Provide since and until dates (YYYY-MM-DD). Get the visual timeline view from Toggl Plan within a date range
List milestones on Toggl Plan
Lists all milestones markers on the timeline
List workspace members on Toggl Plan
Lists all team members in the workspace
List workspace projects on Toggl Plan
Lists all projects in the workspace
List workspace tags on Toggl Plan
Lists all tags used for task categorization
Update timeline task on Toggl Plan
Provide updates as a JSON object. Updates an existing timeline task
Security & Code Integrity Audit
Every tool in the Toggl Plan MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
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.
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.
Where do I obtain my Toggl Plan Access Token?
Navigate to the Toggl Plan web panel, head over to your Profile settings, and locate the Developer/API Integrations segment. You will need a valid Access Token (often labeled API or OAuth Bearer token in your administrative view). Create it permanently and keep the exposed hash secure.
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.
Triggering Toggl Plan via Natural Language
Use Toggl Plan with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
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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