How to Use the VivifyScrum MCP in Vercel AI SDK

Q: How do I search for VivifyScrum boards using the Vercel AI SDK?

Start by calling listboards with your agent client. Since you're building a real-time UI, this data streams into your component instantly, letting you show the user all available options without delay.

Q: Can I update task items using VivifyScrum and Vercel AI SDK?

Absolutely. You run getitem first to get the current state, then use updateitem. This two-step process guarantees you know exactly what data you're changing before your agent client commits it.

Q: What is the best way to see team status with VivifyScrum and Vercel AI SDK?

Run listboarditems to get an immediate list of everything on a board. Streaming this data means your UI updates in real-time, giving users that instant feedback they expect from modern web apps.

Q: Does the Vercel AI SDK handle VivifyScrum's organizational structure?

Yes. You can use listorganizations to pull a complete list of organizations, setting up the initial context for your application before any user interaction happens.

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Connect VivifyScrum MCP to Vercel AI SDK

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

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See All Available Boards Instantly

Call `list_boards` to pull a list of every board your team uses. Your UI shows these names as they come in, no loading circle needed. It’s perfect for building dashboards where the end-user needs an immediate overview before even figuring out what project they're working on.

Check and Change Task Statuses

You can use `get_item` to pull specific details about a task, then follow up with `update_item`. This means your agent client fetches the current status and then writes back to change it. This pattern lets you build interactive components. A user clicks 'Done,' and your AI client updates the item right there in the view.

Track Who Did What on a Board

To track activity, use `get_worklogs`. This tool pulls all historical actions taken against a board. The data shows exactly who changed what and when. This is crucial for building audit logs or 'Last Edited By' widgets directly into your frontend experience.

Setup guide

Set up VivifyScrum 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 VivifyScrum 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 VivifyScrum 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 VivifyScrum. 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 VivifyScrum MCP in Vercel AI SDK

Start by calling `list_boards` with your agent client. Since you're building a real-time UI, this data streams into your component instantly, letting you show the user all available options without delay.

Absolutely. You run `get_item` first to get the current state, then use `update_item`. This two-step process guarantees you know exactly what data you're changing before your agent client commits it.

Run `list_board_items` to get an immediate list of everything on a board. Streaming this data means your UI updates in real-time, giving users that instant feedback they expect from modern web apps.

Yes. You can use `list_organizations` to pull a complete list of organizations, setting up the initial context for your application before any user interaction happens.

The server primarily handles project and task metadata, including item descriptions, board names, worklogs, and organizational details. It does not touch financial or personal identity records.

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