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How to Use the Toggl Plan MCP in Vercel AI SDK

See Toggl Plan data stream live directly into your UI using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Toggl Plan MCP to Vercel AI SDK

Create your Vinkius account to connect Toggl Plan to Vercel AI SDK 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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Visualize Project Phases with the MCP Server

The `get_timeline_view` tool pulls the visual timeline from Toggl Plan, giving you a data range (since/until dates) right in your front end. This means when a user checks project scope, they see the full picture without needing a loading spinner. We also let you list key markers with `list_milestones`, so your agent can pull out all the major diamond points on the calendar instantly.

Manage Tasks and Milestones for Vercel AI SDK

Need to build a task? Use `create_timeline_task` by providing the name, start date, and end date. You can also update existing work segments with `update_timeline_task`, passing in a JSON object payload. It’s straightforward: create it, then tweak it. If something changes or gets scrapped, don't sweat it; run `delete_timeline_task` to wipe the task off the timeline for good.

Get Workspace Context with Toggl Plan

Your agent needs context. Use `list_workspace_projects` and `list_workspace_members` to pull lists of everything running in the workspace. It’s quick prep work that lets your UI know who's on what. Need a breakdown? Run `list_workspace_tags` to see all available categories, which helps you build better filtering controls for your end-user product.

Setup guide

Set up Toggl Plan MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Toggl Plan tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Toggl Plan transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Toggl Plan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Toggl Plan MCP in Vercel AI SDK

You can use `get_timeline_view` to pull a timeline view if you provide specific start and end dates. This gives your client exactly what it needs to render the correct scope.
Yep, running `list_workspace_projects` pulls a list of every project in the workspace. It’s fast and reliable data that you can immediately display to your users.
Just call `get_task_details` and pass in the specific timeline task identifier. This gets you the full breakdown of that segment's activity.
This server handles project metadata, including names, associated tags, and team member lists. It’s all about the structure and scope of work within the plan.
Absolutely. The `list_milestones` tool lets you pull every major milestone marker from the timeline, keeping your UI updated on key project goals.

Start using the Toggl Plan MCP today

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