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How to Use the Aurorascan (Aurora Network L2 Block Explorer API) MCP in Vercel AI SDK

Feed live Aurora L2 chain data straight into your React components without loading spinners using the Vercel AI SDK and this MCP Server.

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Connect Aurorascan (Aurora Network L2 Block Explorer API) MCP to Vercel AI SDK

Create your Vinkius account to connect Aurorascan (Aurora Network L2 Block 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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Real-time Aurora Account Balances in Vercel AI SDK

Your users don't want to wait for a full page reload to see their funds. When they ask your agent about their wallet, the Vercel AI SDK hooks into this MCP Server to pull live balances instantly. By calling `get_balance` or `get_balance_multi` behind the scenes, the agent populates the UI with raw numbers the moment they hit the L2 ledger. You can stream these raw numbers directly into custom React dashboard cards. Instead of staring at a blank screen, users watch the numbers tick up or down as the agent processes the request.

Instant Smart Contract Auditing in Your UI

Developers can inspect live Aurora contracts right inside your chat interface using our MCP Server. Your agent uses `get_source_code` and `get_abi` to pull verified code from Aurorascan and displays it in a clean code block. Because the Vercel AI SDK handles streaming token-by-token, the code renders on screen as it's fetched. No more clunky download buttons or waiting for heavy API payloads to resolve in the background.

Live Gas Estimation and Transaction Checks

Stop guessing what an L2 execution will cost your users. This MCP Server lets your agent invoke `proxy_estimate_gas` and `proxy_gas_price` to calculate exact fees before anyone signs a transaction. The UI updates dynamically as the agent runs these calculations, showing the user current network congestion on Aurora. If a transaction is already in flight, the agent checks `get_tx_receipt_status` to give them a live progress bar.

Setup guide

Set up Aurorascan (Aurora Network L2 Block 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. 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 Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan. 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 Aurorascan (Aurora Network L2 Block Explorer API) MCP in Vercel AI SDK

You instantiate the MCP client and pass the tools directly to `streamText`. This lets your agent call `get_tx_list` or `get_token_balance` and render the results chunk-by-chunk in your UI. It keeps your frontend snappy and eliminates loading spinners.
Yes, the server runs in a lightweight sandbox that works perfectly with Edge runtimes. Your agent can run `get_block_no_by_time` or `get_eth_price` without hitting cold starts. This keeps your crypto dApp fast regardless of where your users are located.
You handle rate limits at the SDK level by wrapping your agent calls in custom middleware or using Vercel's built-in fetch controls. If your agent is hammering `get_token_tx` too hard, you can throttle requests before they hit the Aurorascan API. This prevents your API keys from getting temporarily blocked.
Use `get_balance_multi` instead of looping single balance calls. Your agent can bundle up to several addresses in one go, which saves precious token context and speeds up the streaming UI response.
Your wallet addresses, contract ABIs, and transaction hashes never touch third-party databases. Vinkius runs the Aurorascan MCP Server inside an isolated V8 sandbox, passing queries directly from your Vercel AI SDK backend to the secure Aurora API. Nothing is logged or stored in between.

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