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Arbiscan (Arbitrum Explorer) MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Get Abi, Get Balance, Get Balance Multi, and more

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

Ask AI about this MCP Server for Pydantic AI

The Arbiscan (Arbitrum Explorer) MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 16 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 Arbiscan (Arbitrum Explorer) "
            "(16 tools)."
        ),
    )

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

asyncio.run(main())
Arbiscan (Arbitrum Explorer)
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 Arbiscan (Arbitrum Explorer) MCP Server

Connect your AI agent to Arbiscan to query the Arbitrum L2 network in real-time. This MCP server allows you to fetch blockchain data without leaving your chat interface or IDE.

Pydantic AI validates every Arbiscan (Arbitrum Explorer) tool response against typed schemas, catching data inconsistencies at build time. Connect 16 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

  • Account Auditing — Check Ether balances for single or multiple addresses simultaneously.
  • Transaction Tracking — Retrieve full history for normal, internal, ERC20, and ERC721 (NFT) transactions.
  • Contract Intelligence — Fetch verified source code and ABIs to understand how dApps operate.
  • Network Insights — Get real-time ETH price on Arbitrum, total supply, and block rewards.
  • Developer Tools — Submit and verify contract source code directly through the API.

The Arbiscan (Arbitrum Explorer) MCP Server exposes 16 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 16 Arbiscan (Arbitrum Explorer) tools available for Pydantic AI

When Pydantic AI connects to Arbiscan (Arbitrum Explorer) through Vinkius, your AI agent gets direct access to every tool listed below — spanning arbitrum, block-explorer, smart-contracts, 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 Arbiscan (Arbitrum Explorer)

Get Contract ABI for Verified Source Codes

get

Get balance on Arbiscan (Arbitrum Explorer)

Get Ether Balance for a Single Address

get

Get balance multi on Arbiscan (Arbitrum Explorer)

Get Ether Balance for Multiple Addresses

get

Get block countdown on Arbiscan (Arbitrum Explorer)

Get Estimated Block Countdown Time by BlockNo

get

Get block reward on Arbiscan (Arbitrum Explorer)

Get Block Rewards by BlockNo

get

Get eth price on Arbiscan (Arbitrum Explorer)

Get Ether Last Price

get

Get eth supply on Arbiscan (Arbitrum Explorer)

Get Total Supply of Ether on Arbitrum

get

Get logs on Arbiscan (Arbitrum Explorer)

Get Event Logs

get

Get source code on Arbiscan (Arbitrum Explorer)

Get Contract Source Code for Verified Source Codes

get

Get status on Arbiscan (Arbitrum Explorer)

Check Contract Execution Status

get

Get token nft tx on Arbiscan (Arbitrum Explorer)

Get List of ERC721 Token Transfer Events By Address

get

Get token tx on Arbiscan (Arbitrum Explorer)

Get List of ERC20 Token Transfer Events By Address

get

Get tx list on Arbiscan (Arbitrum Explorer)

Get List of Normal Transactions By Address

get

Get tx list internal on Arbiscan (Arbitrum Explorer)

Get List of Internal Transactions By Address

get

Get tx receipt status on Arbiscan (Arbitrum Explorer)

Check Transaction Receipt Status

verify

Verify source code on Arbiscan (Arbitrum Explorer)

Verify Source Code

Connect Arbiscan (Arbitrum Explorer) to Pydantic AI via MCP

Follow these steps to wire Arbiscan (Arbitrum Explorer) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 16 tools from Arbiscan (Arbitrum Explorer) with type-safe schemas

Why Use Pydantic AI with the Arbiscan (Arbitrum Explorer) MCP Server

Pydantic AI provides unique advantages when paired with Arbiscan (Arbitrum Explorer) through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Arbiscan (Arbitrum Explorer) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Arbiscan (Arbitrum Explorer) connection logic from agent behavior for testable, maintainable code

Arbiscan (Arbitrum Explorer) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Arbiscan (Arbitrum Explorer) MCP Server delivers measurable value.

01

Type-safe data pipelines: query Arbiscan (Arbitrum Explorer) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Arbiscan (Arbitrum Explorer) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Arbiscan (Arbitrum Explorer) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Arbiscan (Arbitrum Explorer) responses and write comprehensive agent tests

Example Prompts for Arbiscan (Arbitrum Explorer) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Arbiscan (Arbitrum Explorer) immediately.

01

"What is the ETH balance of address 0x82aF49447D8a07e3bd95BD0d56f35241523fBab1?"

02

"List the last 5 ERC20 token transfers for 0x123..."

03

"Get the ABI for the contract at 0x912ce59144191c1204e64559fe8253a0e49e6548."

Troubleshooting Arbiscan (Arbitrum Explorer) MCP Server with Pydantic AI

Common issues when connecting Arbiscan (Arbitrum Explorer) to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Arbiscan (Arbitrum Explorer) + Pydantic AI FAQ

Common questions about integrating Arbiscan (Arbitrum Explorer) MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Arbiscan (Arbitrum Explorer) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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