How to Use the Toggl Plan MCP in Mastra AI

Q: How does Toggl Plan work with Mastra AI for task creation?

To create a new task, the agent invokes createtimelinetask. You must pass three pieces of info: the workspace ID, the name you want, and the project ID. It's a structured process.

Q: Can I use Toggl Plan with Mastra AI to update existing tasks?

Yes, using updatetimelinetask is how you modify an existing timeline task. You send the updates as a JSON object, giving you precise control over which data points change.

Q: What kind of information does Toggl Plan provide to Mastra AI?

The MCP Server gives Mastra AI access to project details (getprojectdetails), task specifics (gettaskdetails), and a full inventory of milestones via listmilestones. It's all structured data.

Q: How do I list tasks when using Toggl Plan with Mastra AI?

Simply call listtimelinetasks, making sure you supply the correct workspace ID. This gives a comprehensive overview of everything currently on the project timeline.

Q: What data types does Toggl Plan touch when integrated with Mastra AI?

The server touches structured task objects (via updatetimelinetask), user lists (listworkspaceusers), and workspace metadata (like the ID required for listing tasks).

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Setup Toggl Plan with Mastra AI

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Manage Timeline Tasks with MCP Server

The agent can create new tasks directly on the timeline via `create_timeline_task`. You just need to provide the workspace ID, task name, and project ID. If a task needs to be permanently removed, use `delete_timeline_task`; remember that action is irreversible.

Check Project Status with Mastra AI

Want to see what's happening in a specific project? Run `get_project_details` for full context. If you need an overview of the whole workspace, `list_timeline_tasks` grabs every task list using just the workspace ID.

Maintain Project Roster with Mastra AI

You can pull a complete roster of who's on board by running `list_workspace_users`. Furthermore, you get to know all the available categories and labels using `list_workspace_tags` or listing every project through `list_workspace_projects`.

Setup guide

Set up Toggl Plan MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Toggl Plan tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "toggl-plan-mcp-client",
  servers: {
    "toggl-plan-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Toggl Plan Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Toggl Plan tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Toggl Plan transactions"
);
console.log(result.text);

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Common questions about Toggl Plan MCP in Mastra AI

To create a new task, the agent invokes `create_timeline_task`. You must pass three pieces of info: the workspace ID, the name you want, and the project ID. It's a structured process.

Yes, using `update_timeline_task` is how you modify an existing timeline task. You send the updates as a JSON object, giving you precise control over which data points change.

The MCP Server gives Mastra AI access to project details (`get_project_details`), task specifics (`get_task_details`), and a full inventory of milestones via `list_milestones`. It's all structured data.

Simply call `list_timeline_tasks`, making sure you supply the correct workspace ID. This gives a comprehensive overview of everything currently on the project timeline.

The server touches structured task objects (via `update_timeline_task`), user lists (`list_workspace_users`), and workspace metadata (like the ID required for listing tasks).

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