How to Use the Monday.com MCP in Vercel AI SDK

Q: Can I use Monday.com with Vercel AI SDK for high-frequency updates?

Yes, but be mindful of the API rate limits. Group your updateitemcolumns calls to stay within the 120 requests per minute threshold to prevent sync failures.

Bring your Monday.com board data directly into your Vercel AI SDK interface for real-time, streaming updates.

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Connect Monday.com MCP to Vercel AI SDK

Create your Vinkius account to connect Monday.com 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 Monday.com with Vercel AI SDK

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Stream board data into your AI SDK app

Feed live board status into your frontend components using `list_boards` and `list_board_items`. The data streams straight from the API into your UI without the typical lag of intermediate polling. Your users see project updates manifest as the AI processes them. It turns static lists into live, interactive dashboards within your Next.js or React application.

Push updates using AI SDK tool calls

Trigger changes to your workflow by piping AI-generated inputs into `update_item_columns` and `create_new_item`. You define the logic, and the tools execute the record modification immediately. This keeps your application state perfectly synced with your backend. You aren't just reading data; you're actively manipulating your project structure through the AI client.

Manage item communication via AI SDK

Attach context to specific records using `post_item_update` or fetch existing history with `list_item_updates`. It allows your AI client to handle project correspondence directly. Everything stays in the loop, ensuring the record of communication lives where the work happens. You build tighter feedback loops by keeping comments attached to the source items.

Setup guide

Set up Monday.com 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 Monday.com 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 Monday.com 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 Monday.com. 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 Monday.com MCP in Vercel AI SDK

Install the necessary packages and initialize the client using the HTTP transport. Once connected, call the tools directly within your streamText function to start executing operations against your workspace.

Yes, but be mindful of the API rate limits. Group your `update_item_columns` calls to stay within the 120 requests per minute threshold to prevent sync failures.

The server handles auth through standard endpoint tokens. Pass your credentials during initialization, and the client will manage the security handshake for your session.

Results return as structured JSON, which you can map directly to your components. The SDK handles the streaming, so your UI updates the moment the tool finishes its task.

Your data stays within your authorized workspace. The connection uses scoped API tokens, ensuring only the specific tools you call can access your board items and user profiles.

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