Etherscan MCP Server for LangChainGive LangChain instant access to 19 tools to Get Abi, Get Address Tag, Get Address Token Balance, and more

Name: Etherscan
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Etherscan through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Etherscan MCP Server for LangChain 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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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "etherscan": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Etherscan, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Etherscan through native MCP adapters. Connect 19 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 19 tools from Etherscan via MCP

Why Use LangChain with the Etherscan MCP Server

LangChain provides unique advantages when paired with Etherscan through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Etherscan MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Etherscan queries for multi-turn workflows

Etherscan + LangChain Use Cases

Practical scenarios where LangChain combined with the Etherscan MCP Server delivers measurable value.

RAG with live data: combine Etherscan tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Etherscan, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Etherscan tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Etherscan tool call, measure latency, and optimize your agent's performance

Example Prompts for Etherscan in LangChain

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

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

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

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

Troubleshooting Etherscan MCP Server with LangChain

Common issues when connecting Etherscan to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Etherscan + LangChain FAQ

Common questions about integrating Etherscan MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.