How to Use the Toggl Plan MCP in Mastra AI

Q: How can I check project availability using Toggl Plan with Mastra AI?

You use listworkspaceprojects to pull the list of all projects. Your agent can then iterate over this list, checking each one for active status or necessary metadata.

Q: What if I need to create a new task segment using Toggl Plan with Mastra AI?

Call createtimelinetask, giving the name, start date, and end date. The workflow engine handles this creation step reliably, treating it as a successful atomic operation.

Q: Can I list all milestones using Toggl Plan with Mastra AI?

Yes. listmilestones pulls every marker from the timeline. This is useful for checking if a project hit its required checkpoints before attempting an update or transition.

Q: If I need to see team members using Toggl Plan with Mastra AI, what tool do I use?

Use listworkspacemembers. This provides the complete list of all people in the workspace. Your workflow can then verify roles or assign ownership based on this data.

Build complex Toggl Plan workflows with conditional logic using Mastra AI.

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Automate Timeline Updates via the MCP Server

The `update_timeline_task` tool lets your agent modify an existing task on the timeline by sending a full JSON object. This is huge for workflows; if one step fails, you can automatically adjust the dates and push the update. Similarly, `create_milestone` adds new diamond markers to the plan. Mastra AI handles these multi-step changes, ensuring everything stays in sync.

Retrieve Project Scope Using Toggl Plan

Need the overall view? Run `get_timeline_view` with date parameters (start and end). This gives your workflow the full picture of project activity. It’s ideal for conditional checks, like 'if timeline view shows dates X to Y, then proceed.' For detailed breakdowns, use `list_workspace_projects`. The agent can loop through these projects to check statuses or dependencies before moving on.

Manage Team Resources with Toggl Plan

Your workflow needs people context. Use `list_workspace_members` and `list_workspace_tags` to pull comprehensive lists of team roles and categories. This allows the agent to validate if required resources exist before kicking off a complex operation. When you need specifics, `get_task_details` pulls all the data for a single timeline task into your workflow engine.

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-1-mcp-client",
  servers: {
    "toggl-plan-1-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

You use `list_workspace_projects` to pull the list of all projects. Your agent can then iterate over this list, checking each one for active status or necessary metadata.

Call `create_timeline_task`, giving the name, start date, and end date. The workflow engine handles this creation step reliably, treating it as a successful atomic operation.

This MCP Server touches project metadata (including names, associated tags, and team member lists). The agent can read this information to proceed, but the system handles the secure transmission of that context.

Yes. `list_milestones` pulls every marker from the timeline. This is useful for checking if a project hit its required checkpoints before attempting an update or transition.

Use `list_workspace_members`. This provides the complete list of all people in the workspace. Your workflow can then verify roles or assign ownership based on this data.

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