How to Use the Mem AI (Knowledge Workspace) MCP in Vercel AI SDK

Q: What happens if I delete a note using Mem AI (Knowledge Workspace) in Vercel AI SDK?

The deletemem tool removes it permanently. There is no trash bin or recovery, so verify your target ID before you pull the trigger.

Stream your Mem AI (Knowledge Workspace) data directly into your Vercel AI SDK frontends for real-time knowledge retrieval.

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Connect Mem AI (Knowledge Workspace) MCP to Vercel AI SDK

Create your Vinkius account to connect Mem AI (Knowledge Workspace) 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 Mem AI (Knowledge Workspace) with Vercel AI SDK

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Real-time note streaming with Vercel AI SDK

Feed your UI live knowledge by piping `search_mems` results directly into your React or Next.js components. Stop waiting for spinners and let your users see the data as it arrives from your workspace. This MCP Server connects your Vercel AI SDK project to your notes without middle-man latency. Use `list_mems` to hydrate your state and keep your interface current with your actual knowledge base.

Direct content creation from your web app

Trigger `create_mem` directly from your frontend forms to capture user input instantly. Your app becomes an extension of your workspace, pushing data into your index without leaving the browser. This keeps your application logic tight and focused. By using `create_mem` via the SDK, you maintain control over the data flow while your AI client handles the heavy lifting of vectorization.

Structural organization through your code

Manage your workspace taxonomy by invoking `create_collection` and `add_mem_to_collection` within your app logic. Your Vercel AI SDK environment can now sort information into specific buckets programmatically. Automate the cleanup of your notes by sorting them into collections based on user activity. It turns your app into a smart curator that organizes your knowledge as you work.

Setup guide

Set up Mem AI (Knowledge Workspace) 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 Mem AI (Knowledge Workspace) 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 Mem AI (Knowledge Workspace) transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mem.ai. 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 Mem AI (Knowledge Workspace) MCP in Vercel AI SDK

Yes. You just initialize the client and map the tools to your stream. It keeps your workspace and your app in constant sync.

It treats your notes as raw data streams. Your app gets direct access to the content via the established transport layer.

Security is handled at the endpoint level. You only expose the tools you define, keeping your private knowledge isolated from the public parts of your app.

Not necessarily. You can run this in your Edge Functions. It handles the connection between your notes and your frontend code.

The `delete_mem` tool removes it permanently. There is no trash bin or recovery, so verify your target ID before you pull the trigger.

Use it with your favorite AI tools

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