How to Use the Dynamic (Web3 Auth) MCP in Vercel AI SDK

Q: How do I sync Dynamic (Web3 Auth) with Vercel AI SDK state?

Inject the tools directly into your generateText call. Your AI client will execute them and stream the output into your React components.

Q: Can Dynamic (Web3 Auth) verify wallets in Vercel AI SDK workflows?

Yes. The checksanctions tool runs verification during the agent's turn. It returns a boolean status you can use to block or allow transactions.

Q: How is user data handled during these requests?

The server fetches user IDs and profiles via getuser. Data is passed over a secure transport layer directly to your agent's context.

Q: What happens if a user deletes their account?

You call deleteuser through the agent. The record is removed from your environment immediately.

Stream real-time Web3 identity and wallet data directly into your Vercel AI SDK interface with the Dynamic (Web3 Auth) MCP Server.

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…and any MCP-compatible client

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Connect Dynamic (Web3 Auth) MCP to Vercel AI SDK

Create your Vinkius account to connect Dynamic (Web3 Auth) 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 Dynamic (Web3 Auth) with Vercel AI SDK

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Live wallet compliance and profile streaming

Pipe wallet verification results straight into your frontend UI. Use `check_sanctions` to trigger immediate UI updates the second a wallet is flagged, avoiding stale state. Your AI client fetches user metadata via `get_user` and renders it as the stream resolves. The user sees their profile details populate instantly without waiting for a backend round trip.

Real-time balance tracking for Vercel AI SDK

Connect `get_token_balances` to display live asset values as your agent processes transaction requests. It turns static wallet addresses into active data points in your dashboard. Since the MCP Server integrates with the Vercel AI SDK, you can push balance updates as part of your streaming response. This keeps the user informed while the agent executes logic.

Secure session management on the edge

Handle auth lifecycle events directly from your edge functions. Call `revoke_session` the moment an agent detects suspicious activity or a user logs out. This keeps your application state consistent across the distributed network. You manage the session lifecycle with the same code that drives your AI response.

Setup guide

Set up Dynamic (Web3 Auth) 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 Dynamic (Web3 Auth) 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 Dynamic (Web3 Auth) transactions",
});

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

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Why Choose Vinkius

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

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Common questions about Dynamic (Web3 Auth) MCP in Vercel AI SDK

Inject the tools directly into your `generateText` call. Your AI client will execute them and stream the output into your React components.

Yes. The `check_sanctions` tool runs verification during the agent's turn. It returns a boolean status you can use to block or allow transactions.

It does. You connect the MCP Server to your edge route and it handles the auth data as part of the standard tool-calling loop.

The server fetches user IDs and profiles via `get_user`. Data is passed over a secure transport layer directly to your agent's context.

You call `delete_user` through the agent. The record is removed from your environment immediately.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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