How to Use the Etherscan MCP in Pydantic AI

Strictly typed blockchain data for Pydantic AI. Connect Etherscan to your agents with runtime validation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Etherscan MCP to Pydantic AI

Create your Vinkius account to connect Etherscan to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Etherscan with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe blockchain data for Pydantic AI

Every response from this MCP Server is validated against your Pydantic schemas. If `get_balance` returns unexpected data, your agent catches it immediately. This prevents the silent failures common in loosely coupled systems. You get the raw data you expect, or the agent halts before processing bad information.

Reliable tool execution in Pydantic AI

Define your models and let the MCP Server populate them. Use `get_token_nft_tx` or `get_token_1155_tx` to get precise records that match your expected data structure. Your agent stays focused on logic while the validation layer handles the messy API responses. It is the safest way to bring blockchain data into Pydantic AI.

Deep auditing with Pydantic AI models

Verify contract integrity using `verify_source_code` and `get_abi`. Your agent can now assert that the contract state matches your defined types. This creates a rigorous audit trail for every interaction. Your Pydantic AI agent will only process data that fits your strict requirements.

Setup guide

Set up Etherscan MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "etherscan-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Etherscan tools.",
)

result = await agent.run("List recent Etherscan transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Etherscan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Etherscan now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Etherscan MCP in Pydantic AI

The framework matches the JSON response from the Etherscan server against your defined Pydantic models. If the schema doesn't match, the agent throws a validation error.

Yes. You can define exact models for every tool, ensuring that your agent never operates on corrupted or malformed chain data.

The server supports HTTP and SSE, making it easy to integrate with your existing Pydantic AI toolsets.

Validation errors are caught by the framework. You should implement retry logic in your agent if you expect to hit the API rate limits frequently.

The system processes your requests in memory. No persistent storage of your blockchain query history occurs on our side, keeping your data footprint minimal.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript