How to Use the Workast MCP in Vercel AI SDK

Q: How do I search for Workast spaces using Vercel AI SDK?

Just call the MCP Server tool listspaces. The streamed output gives you a clean array of all available project areas. You can then use that data to populate a dropdown menu on your client dashboard.

Q: What if I need to update tasks in Workast with Vercel AI SDK?

You call updatetask. Since the result streams, you’ll get immediate confirmation that the change went through. This is ideal for showing a user 'Success! Task updated' right as it happens.

Q: Can I view user profiles using Workast and Vercel AI SDK?

Absolutely. Use getuser to fetch specific details or getaccountprofile for the logged-in user's info. The streaming nature keeps your UI snappy.

See Workast data appear instantly in your React UI using Vercel AI SDK.

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Connect Workast MCP to Vercel AI SDK

Create your Vinkius account to connect Workast 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 Workast with Vercel AI SDK

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Live Project State with Vercel AI SDK

When a user needs to see project status, you call `list_spaces` and stream the results directly into the React component. The data populates in real-time, so users don't wait for a spinner to vanish. This live feed is perfect for dashboards. You can show all available Workast spaces using `get_space`, providing immediate feedback as your agent fetches details.

Real-Time Team Data with Vercel AI SDK MCP Server

Need to display who's on the team? Call `list_users` and stream those results. Since you’re building a frontend product, seeing the user list appear as data streams in is key. It works for more than just users; checking out roles or getting specific details via `get_team_info` feels instant when streamed directly to your UI.

Managing Tasks on the Fly with Vercel AI SDK

A user clicks 'view task.' You call `get_task` and stream those details instantly. This method makes the whole experience feel faster than a traditional API fetch. You can also check all tasks in one spot by calling `list_tasks`, making sure your users see exactly what's going on without lag.

Setup guide

Set up Workast 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 Workast 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 Workast transactions",
});

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

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Common questions about Workast MCP in Vercel AI SDK

Just call the MCP Server tool `list_spaces`. The streamed output gives you a clean array of all available project areas. You can then use that data to populate a dropdown menu on your client dashboard.

You call `update_task`. Since the result streams, you’ll get immediate confirmation that the change went through. This is ideal for showing a user 'Success! Task updated' right as it happens.

Yes. The MCP Server provides direct access to all core project tools, like `create_task` and `delete_task`. This means your front-end code can manage the full lifecycle of a task right in the browser.

Absolutely. Use `get_user` to fetch specific details or `get_account_profile` for the logged-in user's info. The streaming nature keeps your UI snappy.

This MCP Server handles core project metadata, including space names, task titles, and user profile details. It’s all about the structural data of your projects.

Use it with your favorite AI tools

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