How to Use the Aptoscan (Aptos Blockchain Explorer API) MCP in Vercel AI SDK

Q: Can I display NFT images using Aptoscan (Aptos Blockchain Explorer API) and Vercel AI SDK?

Yes. The gettokendata tool returns the metadata URI for any Aptos asset. Your frontend takes this URL directly from the tool call arguments and renders the image component before the final text response completes.

Q: How does transaction verification work with this setup?

Your agent calls gettransactionbyversion when a user asks about a payment. The SDK streams the transaction status, sender, and payload details straight to the UI.

Pipe real-time Aptos blockchain data directly into your React or Next.js UI with Vercel AI SDK.

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Connect Aptoscan (Aptos Blockchain Explorer API) MCP to Vercel AI SDK

Create your Vinkius account to connect Aptoscan (Aptos Blockchain Explorer API) 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 Aptoscan (Aptos Blockchain Explorer API) with Vercel AI SDK

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Render Live Aptos Balances via Vercel AI SDK

The `get_account_balance` tool pulls live coin holdings and fungible asset values straight from the Aptos mainnet. Your UI component receives these numbers mid-stream, letting users watch their balances load token-by-token without waiting for a full page refresh. By combining this endpoint with `get_account_tokens`, your Next.js app displays complete portfolios of NFTs and coins instantly. The user sees the raw blockchain data render as the LLM processes the payload on the edge.

Inspect Move Modules in Real-Time

The `get_account_modules` tool fetches the compiled Move bytecode and ABI definitions published under any Aptos address. Developers using your interface can audit smart contracts on the fly while the LLM explains the function signatures. To verify the contract state, the app runs `get_account_resources` in the same execution turn. This exposes the storage layout of the account, feeding structured JSON into your component wrapper.

Trace Ledger History with this MCP Server

The `get_transaction_by_hash` and `get_transaction_by_version` tools extract execution status, gas consumption, and event logs for any transaction. Instead of sending users to an external explorer, your AI client displays the execution layout directly in the chat box. If you need to map out chronologies, `get_block_by_height` pulls the complete list of transaction versions within a specific ledger block. The Vercel AI SDK handles the payload chunking, preventing your Edge Functions from timing out on heavy block queries.

Setup guide

Set up Aptoscan (Aptos Blockchain Explorer API) 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 Aptoscan (Aptos Blockchain Explorer API) 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 Aptoscan (Aptos Blockchain Explorer API) transactions",
});

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

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Common questions about Aptoscan (Aptos Blockchain Explorer API) MCP in Vercel AI SDK

You configure standard backoff limits in your Edge Route handlers. Since this MCP server handles the node connections, your serverless functions only need to manage the incoming streaming tokens.

Yes. The `get_token_data` tool returns the metadata URI for any Aptos asset. Your frontend takes this URL directly from the tool call arguments and renders the image component before the final text response completes.

No, Vinkius hosts the server for you. You connect your Vercel deployment to the managed endpoint using the standard HTTP transport client.

Your agent calls `get_transaction_by_version` when a user asks about a payment. The SDK streams the transaction status, sender, and payload details straight to the UI.

This integration only reads public Aptos ledger data, such as account resources and transaction hashes. No private keys or seed phrases ever touch the server, keeping your users' on-chain credentials completely isolated.

Use it with your favorite AI tools

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