Pydantic AISDK

Etherscan MCP Server

Bring Ethereum
to Pydantic AI

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

Learn how to connect Etherscan to Pydantic AI and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get AbiGet Address TagGet Address Token BalanceGet BalanceGet Balance MultiGet Block No By TimeGet Block NumberGet Eth PriceGet Eth SupplyGet Gas OracleGet LogsGet Source CodeGet Token 1155 TxGet Token Nft TxGet Token TxGet Transaction By HashGet Tx ListGet Tx List InternalVerify Source Code

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Etherscan API Key
Start auditing wallets and tracking transfers from Claude, Cursor, or any MCP-compatible client

Who is this for?

Web3 Developers — Debug smart contract interactions and verify transaction statuses directly from your IDE.
Crypto Analysts — Track whale movements, token distributions, and wallet activity without manual block explorer searches.
DeFi Users — Monitor your portfolio balances and transaction history through a simple chat interface.

Built-in capabilities (19)

get_abi

Get Contract ABI

get_address_tag

Get address name tag (PRO Plus)

get_address_token_balance

Get address portfolio (PRO)

get_balance

Get native token balance for an address

get_balance_multi

Get native token balances for multiple addresses

get_block_no_by_time

Get block number by timestamp

get_block_number

Get latest block number

get_eth_price

Get Ether last price

get_eth_supply

Get total supply of Ether

get_gas_oracle

Get Gas Oracle

get_logs

Get event logs

get_source_code

Get Contract Source Code

get_token_1155_tx

Get ERC-1155 token transfers for an address

get_token_nft_tx

Get ERC-721 token transfers for an address

get_token_tx

Get ERC-20 token transfers for an address

get_transaction_by_hash

Get transaction by hash

get_tx_list

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

get_tx_list_internal

Get internal transactions for an address

verify_source_code

Verify Contract Source Code

Why Pydantic AI?

Pydantic AI validates every Etherscan tool response against typed schemas, catching data inconsistencies at build time. Connect 19 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Etherscan integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Etherscan connection logic from agent behavior for testable, maintainable code

See it in action

Etherscan in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Etherscan and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Etherscan to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Etherscan in Pydantic AI

The Etherscan 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. All 19 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Etherscan details →

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

The Vinkius Advantage

How Vinkius secures
Etherscan for Pydantic AI

Every tool call from Pydantic AI to the Etherscan MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I check the balance of multiple Ethereum addresses at once?

You can use the get_balance_multi tool. Provide the chainid (e.g., 1 for Ethereum) and a comma-separated list of up to 20 addresses to retrieve all balances in a single request.

Can I track NFT transfers for a specific wallet?

Yes! Use the get_token_nft_tx tool. By providing the wallet address and the appropriate chainid, the agent will list ERC-721 transfer events associated with that account.

Does this support networks other than Ethereum Mainnet?

Yes, as long as you use the correct chainid. For example, use 1 for Ethereum, 137 for Polygon, or 10 for Optimism, provided your API key has access to those Etherscan-equivalent explorers.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Etherscan MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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