How to Use the Worksection MCP in Vercel AI SDK

Q: How can I list projects using Worksection with Vercel AI SDK?

Just call the listprojects tool. Your client streams back a full array of project names and IDs, letting you build out your UI components immediately.

Q: Can I get full task information in Worksection using Vercel AI SDK?

Yep. Calling gettaskdetails pulls out every piece of info on a specific task—due dates, assigned members, notes. It streams that data straight to your frontend.

Q: Does Worksection support listing users with Vercel AI SDK?

Absolutely. The listallusers tool lets you pull a roster of every company user. This is perfect for building an admin dashboard that needs the full directory.

Q: How do I check running timers in Worksection with Vercel AI SDK?

Use listactivetimers to get a view of any ongoing time tracking sessions. This data streams directly into your UI, showing who's clocked in and how long they've been working.

Real-time project management results streamed directly into your React or Next.js frontend using Vercel AI SDK.

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Connect Worksection MCP to Vercel AI SDK

Create your Vinkius account to connect Worksection 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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Setup Worksection with Vercel AI SDK

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Get Project Details on Demand

Need specific details about a workspace? The `get_project_details` tool pulls project information instantly. You pass the ID, and your client streams back everything you need—like scope or key deadlines—right into the UI. No loading screen needed.

Manage Task Statuses Live

Building a task tracker? Use `list_project_tasks` to pull all tasks associated with a project. You don't wait for an API call. The data streams in real-time, letting your user see the list populate instantly when they open the page.

Track User Activity History

Tracking who did what is critical. Running `list_work_history` provides a log of past events. Your agent streams this history live, showing users exactly which actions happened and when, without any delay.

Setup guide

Set up Worksection 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Worksection tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Worksection transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Worksection. 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

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Common questions about Worksection MCP in Vercel AI SDK

Just call the `list_projects` tool. Your client streams back a full array of project names and IDs, letting you build out your UI components immediately.

This MCP Server handles structured records like tasks, projects, and user accounts. You'll primarily deal with project IDs, task names, and membership lists.

Yep. Calling `get_task_details` pulls out every piece of info on a specific task—due dates, assigned members, notes. It streams that data straight to your frontend.

Absolutely. The `list_all_users` tool lets you pull a roster of every company user. This is perfect for building an admin dashboard that needs the full directory.

Use `list_active_timers` to get a view of any ongoing time tracking sessions. This data streams directly into your UI, showing who's clocked in and how long they've been working.

Use it with your favorite AI tools

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