How to Use the ClickUp MCP in Vercel AI SDK

Q: How do I connect my ClickUp workspace to the Vercel AI SDK?

You configure the connection using the createMCPClient helper from @ai-sdk/mcp. Pass the Vinkius HTTP endpoint to the transport options and register the tools directly in your streamText call.

Q: How does Vercel AI SDK handle ClickUp task pagination?

The SDK uses the listtasks tool which natively supports pagination parameters. Your agent can fetch tasks in batches and stream them to the frontend as separate UI chunks.

Stream ClickUp task updates directly into your Next.js frontend in real-time using the Vercel AI SDK.

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Connect ClickUp MCP to Vercel AI SDK

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

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Live ClickUp Task Rendering with Vercel AI SDK

The `list_tasks` tool lets your AI client fetch active work items and render them instantly on the edge. Instead of waiting for a backend API to resolve, your application streams the payload directly to the user's screen. You can combine this with `get_task_details` to build interactive dashboards. Your users see their project boards update card-by-card as the LLM processes the request.

Instant Workspace Discovery

The `list_workspaces` tool maps out the user's entire organizational structure inside your chat interface. This means your agent can locate the right workspace and immediately drill down into specific folders. By calling `list_spaces` and `list_folders` in sequence, the application builds a clean navigation tree. Your UI updates progressively as each layer of the hierarchy loads, keeping the interface snappy.

Real-time Task Modification

The `update_task` tool modifies existing cards on the fly without page reloads. Your agent executes status changes or renames items while streaming the visual feedback straight to your React components. This MCP Server tool ensures that if a user wants to clean up their board, the agent calls `delete_task` and removes the element from the viewport. You don't write glue code to sync the state; the SDK handles the UI updates directly.

Setup guide

Set up ClickUp 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 ClickUp 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 ClickUp 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 ClickUp. 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.

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Real-time monitoring

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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 ClickUp MCP in Vercel AI SDK

You configure the connection using the `createMCPClient` helper from `@ai-sdk/mcp`. Pass the Vinkius HTTP endpoint to the transport options and register the tools directly in your `streamText` call.

Yes, this MCP Server runs perfectly on edge runtimes. The Vercel AI SDK communicates with the Vinkius hosted server via lightweight HTTP POST requests, avoiding heavy Node.js dependencies.

The SDK uses the `list_tasks` tool which natively supports pagination parameters. Your agent can fetch tasks in batches and stream them to the frontend as separate UI chunks.

Vinkius handles the rate limiting and connection pooling on its side. Your Vercel AI SDK application only needs to invoke the tools, keeping your edge functions clean and fast.

Your ClickUp tasks, lists, and workspace structures are never stored on Vinkius. The MCP Server acts as an ephemeral proxy, passing credentials directly through a V8 isolate sandbox that wipes memory immediately after execution.

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