How to Use the Etherscan MCP in Vercel AI SDK

Stream live Ethereum chain data directly to your React frontends using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Etherscan MCP to Vercel AI SDK

Create your Vinkius account to connect Etherscan 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.

GDPR Free for Subscribers

Setup Etherscan with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Vercel AI SDK Live Contract Reads

You need contract data rendered before the user loses interest, and this MCP Server delivers it instantly. Hooking up this endpoint means your Vercel AI SDK app pulls the `get_abi` and `get_source_code` directly from the chain. The agent reads the raw hex and streams the parsed functions right into your Next.js UI. Forget loading spinners while a backend service crawls block explorers. You call mcpClient.tools() and pass them to streamText. The user watches the smart contract source code appear on their screen exactly as the agent fetches it.

Streaming Wallet Balances

Grabbing portfolio data usually means managing five different RPC endpoints, but these tools bypass that mess. Your agent uses `get_address_token_balance` and `get_balance_multi` to hit Etherscan once and stream the exact token holdings straight to your Svelte or Vue frontend. It handles native ETH and ERC-20s out of the box. If a user asks for their net worth, the agent fires `get_eth_price` to calculate the fiat value on the fly. You get a live, updating portfolio view without writing custom indexers.

Real-Time Transaction Histories

Block explorers are slow, so this server lets your agent pull transaction histories directly. By connecting these tools, your agent triggers `get_tx_list` and `get_token_tx` to pull up to 10,000 records instantly. The Vercel AI SDK streams those raw transfers into a readable format while the data is still downloading. If someone wants to see where their ERC-721 went, `get_token_nft_tx` grabs the exact transfer event. Data doesn't lie. Now it shows up instantly.

Setup guide

Set up Etherscan 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 Etherscan 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 Etherscan transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Etherscan. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Etherscan now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Etherscan MCP in Vercel AI SDK

Install @ai-sdk/mcp and initialize with createMCPClient. Point the HTTP transport URL to your Vinkius endpoint. Pass the resulting tools directly to streamText.

Yes. The tools execute on the server and stream the results back to your client components. You get live updates as the agent reads block data.

Etherscan caps free tier requests at 5 per second. If your agent runs heavy concurrent loops, you will hit this limit. Upgrade your API key or cache static responses.

Yes, the Vercel AI SDK integration works on Edge runtimes. Just ensure your Vinkius MCP endpoint is accessible from the Edge network.

We never log your raw blockchain queries. When your agent calls `get_transaction_by_hash`, the request routes directly through the V8 Isolate Sandbox to Etherscan and vanishes. The ephemeral container drops the memory the second the HTTP stream closes.

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