How to Use the Corbado MCP in Vercel AI SDK

Q: Can I use Corbado with Vercel AI SDK to handle passkey signups?

Yes. You trigger initsignup through the MCP client to initiate the flow, then pass the result to your frontend to finish the registration process.

Use the Corbado MCP Server with Vercel AI SDK to stream real-time passkey authentication data directly into your React and Next.js interfaces.

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Connect Corbado MCP to Vercel AI SDK

Create your Vinkius account to connect Corbado 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 Corbado with Vercel AI SDK

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Live authentication state in Vercel AI SDK

Stream live auth data into your components without waiting for backend round-trips. You use `init_signup` and `start_passkey_login` to trigger flows that update your UI as the user progresses. Your users see immediate feedback when their identity is verified. By hooking `finish_passkey_login` into your stream, you keep the frontend in sync with the actual authentication state.

Manage user lifecycles with AI SDK tools

Handle user records directly from your edge functions. You call `create_user` or `update_user` to sync your database with Corbado without leaving your TypeScript codebase. Deleting or modifying identifiers happens in a single call. You use `delete_identifier` or `update_identifier` to keep your user directory clean and accurate.

Secure session handling in your AI client

Control active sessions from your application logic. You invoke `list_sessions` or `revoke_session` to manage user access right from your server-side code. Keep your platform secure by checking `get_me` during every request cycle. It ensures your AI client always knows who is currently logged in.

Setup guide

Set up Corbado 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 Corbado 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 Corbado 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 Corbado. 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 Corbado MCP in Vercel AI SDK

You manage security by restricting tool access to your authorized server routes. The Corbado MCP Server handles the heavy lifting while you define which endpoints can trigger auth actions.

Yes. You trigger `init_signup` through the MCP client to initiate the flow, then pass the result to your frontend to finish the registration process.

It does. You pipe the tool outputs directly into your response stream so the AI client can process authentication steps in real-time.

Corbado stores your user identifiers and passkey metadata on their servers. The MCP server acts as the bridge for your AI agent to interact with that data.

No. The server only touches non-sensitive identifiers and session tokens. Biometric verification happens locally on the user's device hardware.

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