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How to Use the Notion MCP in Vercel AI SDK

Connect your Notion workspace to Vercel AI SDK. Stream blocks, query databases, and update properties directly from your React UI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Notion MCP to Vercel AI SDK

Create your Vinkius account to connect Notion 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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Real-time Notion data streaming

Your AI client pushes data directly into your frontend components using `query_database` and `get_blocks`. Users watch the UI populate as the server streams content. This keeps your interface snappy. No loading spinners while the agent parses complex JSON from the Notion API.

Full workspace control for your AI client

Handle page lifecycle events like `create_page` and `archive_page` without leaving your app state. The server executes these commands instantly. Everything happens over standard HTTP transport. You get predictable, typed responses that fit right into your existing React hooks.

Automated Notion property updates

Trigger `update_page_properties` or `update_page_title` based on user input or background logic. Your AI client maintains the state of your workspace automatically. It works with edge functions. You don't need a heavy backend to sync changes to your Notion databases.

Setup guide

Set up Notion 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Notion tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Notion transactions",
});

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

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

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 Notion MCP in Vercel AI SDK

Use the `search_pages` tool. It performs a fuzzy text match across your workspace and returns the UUID you need for further operations.
Yes. Pass your database ID to `query_database` to pull structured rows. The result maps perfectly to your frontend data models.
It does. Use `update_page_properties` to modify existing rows. You just pass a JSON object that matches the current schema.
Yes. It uses lightweight HTTP transport. This ensures your AI client stays responsive even when deployed to the edge.
Your Notion API token stays on your backend. This MCP server acts as a proxy, ensuring no raw credentials leak into the browser or client-side code.

Start using the Notion MCP today

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Built & Managed by Vinkius 30s setup 14 tools

We've already built the connector for Notion. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 14 tools are live and waiting. You're up and running in seconds.

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