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Notion MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Append Block Children, Create Page, Get Me, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Notion through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Notion app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Notion, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Notion
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Notion MCP Server

Connect your Notion workspace to your AI agent. Search across databases, fetch page contents, update block properties, and create new knowledge entries directly from your chat without opening the Notion app.

The Vercel AI SDK gives every Notion tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Notion MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Notion tools available for Vercel AI SDK

When Vercel AI SDK connects to Notion through Vinkius, your AI agent gets direct access to every tool listed below — spanning workspace-management, database-query, page-editing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

append_block_children

Append child blocks to an existing block or page

create_page

You must provide the parent object and properties (schema based on parent type). Create a new page in Notion

get_me

Get information about the current integration/bot

list_databases

List all databases available to the integration

list_users

List all users in the workspace

query_database

Query a specific Notion database with filters and sorts

retrieve_block_children

Retrieve child blocks of a specific block or page

retrieve_database

Retrieve metadata for a specific database

retrieve_page

Retrieve a specific Notion page by ID

retrieve_user

Retrieve a specific user by ID

search

Search for pages and databases by title

update_page

Update properties of an existing Notion page

Connect Notion to Vercel AI SDK via MCP

Follow these steps to wire Notion into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Notion and passes them to the LLM

Why Use Vercel AI SDK with the Notion MCP Server

Vercel AI SDK provides unique advantages when paired with Notion through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Notion integration everywhere

03

Built-in streaming UI primitives let you display Notion tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Notion + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Notion MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Notion in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Notion tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Notion capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Notion through natural language queries

Example Prompts for Notion in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Notion immediately.

01

"Search my Notion workspace for 'Q3 Roadmap'."

02

"List all items in database 'DATABASE_ID' marked as 'In Progress'."

03

"Create a new note titled 'Meeting Notes' under page 'PAGE_ID'."

Troubleshooting Notion MCP Server with Vercel AI SDK

Common issues when connecting Notion to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Notion + Vercel AI SDK FAQ

Common questions about integrating Notion MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.