How to Use the ClickUp MCP in Vercel AI SDK

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

Install @ai-sdk/mcp and set up the HTTP client pointing to your Vinkius endpoint. Pass the tools array from the client directly into your streaming configuration. Don't forget to close the connection once the execution finishes to prevent memory leaks.

Build real-time Next.js task boards that let your AI client update ClickUp lists instantly 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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Stream ClickUp updates live using Vercel AI SDK

The `list_workspace_spaces` tool fetches your entire team's project structure directly into your application's execution context. You feed this data straight into `streamText` to render workspace layouts on the fly. Users don't wait for a full page reload or stare at a blank loading spinner. By using the `list_space_folders` tool alongside Vercel's UI components, your front-end updates as the agent navigates your workspace. You get a live, reactive interface where tasks and folders appear on screen the millisecond the LLM processes them.

Fast task creation via ClickUp MCP Server

The `create_new_task` tool handles immediate payload delivery to ClickUp from any edge function. You bypass heavy backend setups by calling this tool directly inside your API routes. The SDK processes the tool call and maps your user's prompt to a structured task structure without latency. Combine this with `list_space_lists` to let your agent find the correct destination list before writing the task. It ensures every ticket lands in the right bucket without hardcoding IDs into your React codebase.

Deep dive into task details on demand

The `get_task_details` tool pulls specific metadata, assignees, and status logs into your frontend state. Your AI client reads this JSON payload to explain project roadblocks to users in plain English. Running `list_list_tasks` alongside this allows your application to build dynamic, interactive kanban boards. Your users get a clear view of their sprint progress, updated by the agent in real time.

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

Live

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

Install `@ai-sdk/mcp` and set up the HTTP client pointing to your Vinkius endpoint. Pass the tools array from the client directly into your streaming configuration. Don't forget to close the connection once the execution finishes to prevent memory leaks.

Yes, this setup works in Vercel Edge Functions because the client communicates over standard HTTP. It doesn't rely on Node-specific APIs. Your agent can run write operations with zero cold-start delay.

The Vinkius MCP Server manages the underlying API limits and connection pooling. Your SDK code simply awaits the tool call. If the API throttles a request, the server handles the queue so your edge function doesn't time out.

You need a personal API token or an OAuth connection with write access to your workspaces. The server uses these credentials to list folders, read tasks, and write updates on your behalf.

Yes, your task descriptions and workspace structures remain private because Vinkius runs this server inside an ephemeral, isolated V8 sandbox. No data is stored on our servers. Every request uses secure HTTP transport to fetch and write directly to your workspace.

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