Notion MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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
Unlock the full potential of your connected workspace by linking Notion to your AI agent. This integration transforms Notion from a static documentation hub into a dynamic, queryable engine for your AI workflows. Your agent can now perform global fuzzy searches to locate misplaced documents, query structured databases to extract tabular data, and even read deep into nested block hierarchies to summarize project specs or meeting notes. Whether you're automating task creation or retrieving team knowledge, your agent acts as an intelligent librarian for your entire Notion domain.
The Vercel AI SDK gives every Notion tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Global Search — Rapidly find pages and databases across your workspace by title or content using fuzzy text matching.
- Database Orchestration — Query databases to read structured data rows or fetch the exact schema defining your trackers.
- Deep Content Reading — Access metadata and dive into nested paragraphs, lists, and images using advanced block retrieval.
- Record Creation — Programmatically create new pages or insert data rows directly inside specific Notion containers.
- Identity Mapping — Enumerate all workspace users and bots to accurately map assignee tags to team members.
The Notion MCP Server exposes 10 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.
How to Connect Notion to Vercel AI SDK via MCP
Follow these steps to integrate the Notion MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Notion integration everywhere
Built-in streaming UI primitives let you display Notion tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Notion in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Notion tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Notion capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Notion through natural language queries
Notion MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Notion to Vercel AI SDK via MCP:
archive_page
Archive/Delete a Notion Page
create_page
Insert a new row/page inside a Database
get_blocks
Read hierarchical textual content under a Page
get_database
) defining rows within a Database. Retrieve the schema definition of a Database
get_page
Does NOT fetch body text. Retrieve metadata properties for a single Notion Page
list_users
Enumerate workspace members and bots
query_database
Read structured data rows from a Notion Database
search_databases
Essential for tracking down Database UUIDs. Fuzzy text search globally across Notion workspace Databases
search_pages
Necessary to locate Page UUIDs rapidly. Fuzzy text search globally across Notion workspace pages
update_page_title
Update the title of a Notion Page
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.
"Search my Notion workspace for any pages containing 'Q4 Marketing Strategy'."
"Create a new row in my Project Tasks database marking the title as 'Update API Docs'."
"List all team members currently registered in my Notion."
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.
createMCPClient is not a function
npm install @ai-sdk/mcpNotion + Vercel AI SDK FAQ
Common questions about integrating Notion MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Notion with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Notion to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.