Etherscan MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Etherscan through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Etherscan MCP Server for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Etherscan "
            "(19 tools)."
        ),
    )

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

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.

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.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Etherscan MCP Server

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

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

Etherscan + Pydantic AI Use Cases

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

Type-safe data pipelines: query Etherscan with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Etherscan tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Etherscan and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Etherscan responses and write comprehensive agent tests

Example Prompts for Etherscan in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Etherscan + Pydantic AI FAQ

Common questions about integrating Etherscan MCP Server with Pydantic AI.

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.

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