How to Use the Wing Assistant MCP in Vercel AI SDK

Q: Can I check multiple tasks using Wing Assistant and Vercel AI SDK?

Yes. You can use listtasks to grab a full roster of assignments. Then, you cycle through the IDs and call gettaskstatus for each one, displaying the results in real time.

Q: If I need assistant details using Wing Assistant and Vercel AI SDK, how do I get them?

Just use the getassistant tool. You pass the specific ID of the virtual assistant you're interested in, and the full set of details streams into your UI right away.

Q: What happens if a task needs updating with Wing Assistant and Vercel AI SDK?

You call updatetask, providing the ID and the new details. The MCP Server handles the modification, and that change is streamed back to your application instantly.

Get real-time task management data streaming directly into your Next.js UI with Vercel AI SDK.

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Connect Wing Assistant MCP to Vercel AI SDK

Create your Vinkius account to connect Wing Assistant 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 Wing Assistant with Vercel AI SDK

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Track Task Progress Live

Use `get_task_status` to fetch the current status of any unit of work. The data streams instantly into your UI, so users see changes in real time without clicking a refresh button. You can also use `list_tasks` to pull all existing tasks assigned to assistants. This makes building live dashboards simple because the task list appears immediately after calling the tool.

Manage Virtual Assistants

The `list_assistants` tool gives you a quick rundown of every active virtual assistant in your organization. When building an agent selector, this ensures your front end always knows which assistants are available for use. Need to check details? Call `get_assistant` using the specific ID. This pulls all necessary metadata about that one assistant, letting you display detailed info right when the user clicks their name.

Control Task Lifecycles

Want to kick off a new process? Call `create_task`, passing in both a title and description. This function immediately registers the task within your system, allowing you to show users that their request was accepted. If something changes, use `update_task` to adjust an existing job's details on the fly. Your agent can then pass this updated information directly through the stream.

Setup guide

Set up Wing Assistant 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 Wing Assistant 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 Wing Assistant transactions",
});

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

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

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Common questions about Wing Assistant MCP in Vercel AI SDK

The MCP Server streams results live into your Next.js component. You don't wait for a loading spinner; the user sees the task status or assistant list appear immediately as it hits your client.

Yes. You can use `list_tasks` to grab a full roster of assignments. Then, you cycle through the IDs and call `get_task_status` for each one, displaying the results in real time.

Just use the `get_assistant` tool. You pass the specific ID of the virtual assistant you're interested in, and the full set of details streams into your UI right away.

You call `update_task`, providing the ID and the new details. The MCP Server handles the modification, and that change is streamed back to your application instantly.

This MCP Server deals with task records and assistant metadata. Specifically, it handles the creation and modification of tasks, which are structured by title and description.

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