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Toggl Plan

Toggl Plan MCP Server

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Manage your team's visual timelines, track project phases, and balance workloads securely via your AI agent.

Vinkius supports streamable HTTP and SSE.

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Toggl Plan
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Toggl Plan MCP Server?

The Toggl Plan MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Toggl Plan via 10 tools. Manage your team's visual timelines, track project phases, and balance workloads securely via your AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

create_milestonecreate_timeline_taskdelete_timeline_taskget_task_detailsget_timeline_viewlist_milestoneslist_workspace_memberslist_workspace_projectslist_workspace_tagsupdate_timeline_task

Tools for your AI Agents to operate Toggl Plan

Ask your AI agent "List all active projects in Workspace 992211." and get the answer without opening a single dashboard. With 10 tools connected to real Toggl Plan data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Toggl Plan MCP Server capabilities

10 tools
create_milestone

Creates a new milestone diamond on the timeline

create_timeline_task

Provide name, start_date, and end_date (YYYY-MM-DD). Creates a new task/segment on the Toggl Plan timeline

delete_timeline_task

This action is irreversible. Permanently deletes a task from the timeline

get_task_details

Retrieves details for a specific timeline task

get_timeline_view

Provide since and until dates (YYYY-MM-DD). Get the visual timeline view from Toggl Plan within a date range

list_milestones

Lists all milestones markers on the timeline

list_workspace_members

Lists all team members in the workspace

list_workspace_projects

Lists all projects in the workspace

list_workspace_tags

Lists all tags used for task categorization

update_timeline_task

Provide updates as a JSON object. Updates an existing timeline task

What the Toggl Plan MCP Server unlocks

Connect your Toggl Plan workspaces to an AI agent entirely bypassing the complex graphical interfaces. Allow your project managers and team leads to directly read, create, and organize workload data, milestones, and daily tasks inside a conversational or command-driven environment.

What you can do

  • Timeline Oversight — Search workspaces to list, read, or inspect the metadata details of specific timeline tasks and milestones
  • Project Construction — Easily list all the active project segments directly on your terminal to know what your team is facing today
  • Task Execution — Complete the full cycle of task management: Create new nodes on the timeline, update existing entries, or delete deprecated ones through simple instructions
  • Fleet Operations — Manage human resources by securely listing all registered workspace users to assign workloads correctly
  • Taxonomy Organization — Check and retrieve current tagging structures to ensure standardized labels

How it works

1. Subscribe your AI to this component
2. Introduce your specific Toggl Plan authorization credentials (API Token)
3. Query your timeline data or instruct the machine to log hours or schedule new routines fluently

Who is this for?

  • Project Managers — Handle timelines, insert tasks, and inspect due dates directly in chat without breaking their daily workflow
  • Resource Planners — Access user directories and measure scheduled items against operational milestones continuously
  • Software Engineers — Synchronize technical updates straight to the Toggl timeline without clicking through the official frontend

Frequently asked questions about the Toggl Plan MCP Server

01

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.

02

Does the system support permanent deletion of elements?

Yes. This connector features a delete_timeline_task handler. If specifically instructed by you, the AI agent is capable of making a permanent removal request which cannot be un-done. You should instruct the AI cautiously when using mutations.

03

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.

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