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How to Use the Wemix Explorer MCP in Vercel AI SDK

Stream real-time blockchain data feeds right into your React frontends using Vercel AI SDK.

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Vercel AI SDK

Connect Wemix Explorer MCP to Vercel AI SDK

Create your Vinkius account to connect Wemix Explorer 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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Display Account Status Live

You can stream basic account details, like owner information or current token balances, directly to the user's screen. This happens in real-time as your agent calls `get_account_info` or runs `list_account_tokens`. The data appears without a loading spinner, making the whole experience feel faster. This is huge for frontends. Instead of showing a 'Loading...' state while waiting for an API call to finish, you stream the results directly into components using the Vercel AI SDK.

Track Network Activity Feeds

Need to show recent activity? Your agent can fetch lists of blocks or events and stream them instantly. Use `list_blocks` or `list_events` to keep the UI populated with fresh data. This lets you build a dynamic, constantly updating dashboard. Because this is streaming, if your user opens a page showing the last five minutes of network activity, they see each record appear sequentially as it arrives from the MCP Server.

Audit Transaction History

The agent handles complex history calls, like pulling all transfers for an account or listing past transactions with `list_account_transfers` and `list_extrinsics`. These results stream out immediately. You can show a user their full transaction ledger live in the UI. The Vercel AI SDK makes this smooth. It takes the raw, sequential data from the Wemix Explorer MCP Server and presents it to the end-user without interruption.

Setup guide

Set up Wemix Explorer 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Wemix Explorer tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Wemix Explorer 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 Wemix Explorer. 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 Wemix Explorer MCP in Vercel AI SDK

Your agent calls `get_account_info` through the MCP Server. Since you're using the Vercel AI SDK, the basic details stream out in real-time into your React component. You see the data populate instantly.
Yes, you use the `list_blocks` tool exposed by the MCP Server. The results stream directly into your frontend via the Vercel AI SDK's streaming capabilities. It’s perfect for building live network dashboards.
The Wemix Explorer MCP Server provides block, account, and token data. Your agent can use tools like `get_block` or `list_tokens` to fetch specific details needed for a workflow step.
It does. You pass the list of available tools from the MCP Server—like `get_account_info` and `list_tokens`—to your text generation function, letting your agent call them sequentially or in parallel.
This server touches public blockchain data types, specifically account balances and transaction records. The MCP Server handles the connection securely, and your client only receives the specific, requested data points.

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