Etherscan MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Etherscan as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Etherscan. "
            "You have 19 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Etherscan?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

LlamaIndex agents combine Etherscan tool responses with indexed documents for comprehensive, grounded answers. Connect 19 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 19 tools from Etherscan

Why Use LlamaIndex with the Etherscan MCP Server

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

Data-first architecture: LlamaIndex agents combine Etherscan tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Etherscan tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Etherscan, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Etherscan tools were called, what data was returned, and how it influenced the final answer

Etherscan + LlamaIndex Use Cases

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

Hybrid search: combine Etherscan real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Etherscan to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Etherscan for fresh data

Analytical workflows: chain Etherscan queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Etherscan in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Etherscan + LlamaIndex FAQ

Common questions about integrating Etherscan MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Etherscan tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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