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Etherscan MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 19 tools to Get Abi, Get Address Tag, Get Address Token Balance, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Etherscan through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Etherscan MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Etherscan, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Etherscan
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Etherscan MCP Server

Connect your Etherscan API key to any AI agent and gain instant access to on-chain data across Ethereum and other EVM-compatible networks through natural conversation.

The Vercel AI SDK gives every Etherscan tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 19 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Native Balances — Retrieve the native token balance (ETH, MATIC, etc.) for single or multiple addresses (up to 20) using get_balance and get_balance_multi.
  • Transaction History — Fetch comprehensive lists of normal and internal transactions for any wallet address with get_tx_list and get_tx_list_internal.
  • Token Tracking — Monitor transfers for ERC-20, ERC-721 (NFTs), and ERC-1155 tokens using specialized tools like get_token_tx and get_token_nft_tx.
  • Multi-Chain Support — Query data across different networks by specifying the chainid (e.g., 1 for Ethereum, 137 for Polygon).
  • Granular Filtering — Filter transaction results by block range, pagination, and sort order to find exactly what you need.

The Etherscan MCP Server exposes 19 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 Etherscan tools available for Vercel AI SDK

When Vercel AI SDK connects to Etherscan through Vinkius, your AI agent gets direct access to every tool listed below — spanning ethereum, evm, block-explorer, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get abi on Etherscan

Get Contract ABI

get

Get address tag on Etherscan

Get address name tag (PRO Plus)

get

Get address token balance on Etherscan

Get address portfolio (PRO)

get

Get balance on Etherscan

Get native token balance for an address

get

Get balance multi on Etherscan

Get native token balances for multiple addresses

get

Get block no by time on Etherscan

Get block number by timestamp

get

Get block number on Etherscan

Get latest block number

get

Get eth price on Etherscan

Get Ether last price

get

Get eth supply on Etherscan

Get total supply of Ether

get

Get gas oracle on Etherscan

Get Gas Oracle

get

Get logs on Etherscan

Get event logs

get

Get source code on Etherscan

Get Contract Source Code

get

Get token 1155 tx on Etherscan

Get ERC-1155 token transfers for an address

get

Get token nft tx on Etherscan

Get ERC-721 token transfers for an address

get

Get token tx on Etherscan

Get ERC-20 token transfers for an address

get

Get transaction by hash on Etherscan

Get transaction by hash

get

Get tx list on Etherscan

Max 10,000 records. Get normal transactions for an address

get

Get tx list internal on Etherscan

Get internal transactions for an address

verify

Verify source code on Etherscan

Verify Contract Source Code

Connect Etherscan to Vercel AI SDK via MCP

Follow these steps to wire Etherscan into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 19 tools from Etherscan and passes them to the LLM

Why Use Vercel AI SDK with the Etherscan MCP Server

Vercel AI SDK provides unique advantages when paired with Etherscan through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Etherscan integration everywhere

03

Built-in streaming UI primitives let you display Etherscan tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Etherscan + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Etherscan MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Etherscan in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Etherscan tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Etherscan capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Etherscan through natural language queries

Example Prompts for Etherscan in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Etherscan immediately.

01

"What is the ETH balance of address 0xde0B295669a9FD93d5F28D9Ec85E40f4cb697BAe on Ethereum?"

02

"Show me the last 5 ERC-20 token transfers for 0x742d35Cc6634C0532925a3b844Bc454e4438f44e."

03

"List the normal transactions for address 0x123... on Polygon (Chain ID 137)."

Troubleshooting Etherscan MCP Server with Vercel AI SDK

Common issues when connecting Etherscan to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Etherscan + Vercel AI SDK FAQ

Common questions about integrating Etherscan MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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