How to Use the Notion MCP in Vercel AI SDK
Stream your Notion workspace directly into your Vercel AI SDK frontends for real-time data visibility.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Real-time Notion data in Vercel AI SDK
Your UI renders Notion content as the AI pulls it. Use `query_database` to fetch live task lists and pipe them into your Vercel AI SDK stream. Stop waiting for spinners. Users see database records appear instantly as your agent resolves the request.
Programmatic page creation with Vercel AI SDK
Trigger `create_page` directly from your edge functions. Your AI client generates documentation based on user input and pushes it to your workspace immediately. Keep your frontends in sync with your internal records. Every property update stays consistent across your application state.
Block manipulation via Vercel AI SDK
Push content into existing documents using `append_block_children`. Your Vercel AI SDK agents can now add notes or meeting summaries to specific pages automatically. Manage complex document structures without manual intervention. The integration handles the request lifecycle while your frontend stays responsive.
Set up Notion MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Notion tools. Pass them directly togenerateText()orstreamText()— 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.
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
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