How to Use the Toggl Plan MCP in Google ADK

Q: How do I get a full project view using Toggl Plan and Google ADK?

Use the gettimelineview tool. You just need to provide the start and end dates you're interested in, and it pulls the visual representation.

Q: Which tools should I use for project list management with Toggl Plan and Google ADK?

You can check out all available projects using listworkspaceprojects, or get a comprehensive tag breakdown via listworkspacetags.

Q: Can the MCP Server handle updating task segments for Toggl Plan and Google ADK?

Yes. Use updatetimelinetask. It lets you modify an existing segment by passing a detailed JSON object that specifies the required changes.

Q: If I delete tasks using Toggl Plan and Google ADK, can I recover them?

No. The deletetimelinetask action is permanent. Treat it like writing in stone—it's irreversible.

Model complex workflows using the Google ADK with Toggl Plan.

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Connect Toggl Plan MCP to Google ADK

Create your Vinkius account to connect Toggl Plan to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Toggl Plan with Google ADK

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Build Project Views with MCP Server

`get_timeline_view` gives you the entire visual timeline for a specific date range. You can scope this view by providing both 'since' and 'until' dates in YYYY-MM-DD format. If you just need to see all potential project markers, run `list_milestones`.

Manage Project Segments

Need a new work period? Use `create_timeline_task`, providing the name along with start and end dates. If you need to adjust an existing segment, call `update_timeline_task`.

Identify Work Scope Details

Your agent can pull context using `list_workspace_projects` or categorize tasks by running `list_workspace_tags`. For granular checks on any task, use `get_task_details`.

Setup guide

Set up Toggl Plan MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Toggl Plan tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Toggl Plan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Toggl Plan tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Toggl Plan MCP in Google ADK

Use the `get_timeline_view` tool. You just need to provide the start and end dates you're interested in, and it pulls the visual representation.

You can check out all available projects using `list_workspace_projects`, or get a comprehensive tag breakdown via `list_workspace_tags`.

Yes. Use `update_timeline_task`. It lets you modify an existing segment by passing a detailed JSON object that specifies the required changes.

No. The `delete_timeline_task` action is permanent. Treat it like writing in stone—it's irreversible.

This server processes project structural data, including project names, member lists (`list_workspace_members`), and task segment definitions. It manages the work scope itself.

Use it with your favorite AI tools

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