Snowtrace (Avalanche Explorer) MCP Server for Pydantic AIGive Pydantic AI instant access to 21 tools to Check Contract Execution Status, Check Transaction Receipt Status, Check Verify Status, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Snowtrace (Avalanche 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 Snowtrace (Avalanche Explorer) MCP Server for Pydantic AI is a standout in the Databases category — giving your AI agent 21 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Snowtrace (Avalanche Explorer) "
"(21 tools)."
),
)
result = await agent.run(
"What tools are available in Snowtrace (Avalanche Explorer)?"
)
print(result.data)
asyncio.run(main())
* 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 Snowtrace (Avalanche Explorer) MCP Server
Connect to the Snowtrace explorer and bring real-time Avalanche blockchain data into your AI workflows. Monitor addresses, analyze transactions, and audit smart contracts without leaving your conversation.
Pydantic AI validates every Snowtrace (Avalanche Explorer) tool response against typed schemas, catching data inconsistencies at build time. Connect 21 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 Analytics — Retrieve AVAX balances for single or multiple addresses (up to 20) in a single request.
- Transaction History — List normal and internal transactions for any wallet, including block ranges and sorting options.
- Token Tracking — Monitor ERC-20 and ERC-721 (NFT) transfer events to track asset movements across the network.
- Contract Inspection — Fetch verified source code and ABIs for smart contracts to understand protocol logic.
- Network Stats — Access block rewards, total AVAX supply, and the latest price data directly from the chain.
The Snowtrace (Avalanche Explorer) MCP Server exposes 21 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 21 Snowtrace (Avalanche Explorer) tools available for Pydantic AI
When Pydantic AI connects to Snowtrace (Avalanche Explorer) through Vinkius, your AI agent gets direct access to every tool listed below — spanning avalanche-blockchain, 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.
Check contract execution status on Snowtrace (Avalanche Explorer)
Check Contract Execution Status
Check transaction receipt status on Snowtrace (Avalanche Explorer)
Check Transaction Receipt Status
Check verify status on Snowtrace (Avalanche Explorer)
Check Verification Status
Get avax balance on Snowtrace (Avalanche Explorer)
Get AVAX Balance for a Single Address
Get avax balance multi on Snowtrace (Avalanche Explorer)
Get AVAX Balance for Multiple Addresses
Get avax last price on Snowtrace (Avalanche Explorer)
Get AVAX Last Price
Get avax total supply on Snowtrace (Avalanche Explorer)
Get Total Supply of AVAX
Get block countdown on Snowtrace (Avalanche Explorer)
Get Estimated Block Countdown
Get block number by time on Snowtrace (Avalanche Explorer)
Get Block Number by Timestamp
Get block reward on Snowtrace (Avalanche Explorer)
Get Block Rewards
Get contract abi on Snowtrace (Avalanche Explorer)
Get Contract ABI
Get contract source code on Snowtrace (Avalanche Explorer)
Get Contract Source Code
Get erc20 transfers on Snowtrace (Avalanche Explorer)
Get ERC-20 Token Transfer Events
Get erc721 transfers on Snowtrace (Avalanche Explorer)
Get ERC-721 (NFT) Token Transfer Events
Get internal transactions on Snowtrace (Avalanche Explorer)
Get Internal Transactions
Get logs on Snowtrace (Avalanche Explorer)
Get Logs
Get mined blocks on Snowtrace (Avalanche Explorer)
Get Blocks Mined by Address
Get normal transactions on Snowtrace (Avalanche Explorer)
Get Normal Transactions by Address
Get token balance on Snowtrace (Avalanche Explorer)
Get ERC-20 Token Balance for Address
Get token total supply on Snowtrace (Avalanche Explorer)
Get ERC-20 Token Total Supply
Verify source code on Snowtrace (Avalanche Explorer)
Verify Source Code
Connect Snowtrace (Avalanche Explorer) to Pydantic AI via MCP
Follow these steps to wire Snowtrace (Avalanche Explorer) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Snowtrace (Avalanche Explorer) MCP Server
Pydantic AI provides unique advantages when paired with Snowtrace (Avalanche Explorer) 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 Snowtrace (Avalanche Explorer) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Snowtrace (Avalanche Explorer) connection logic from agent behavior for testable, maintainable code
Snowtrace (Avalanche Explorer) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Snowtrace (Avalanche Explorer) MCP Server delivers measurable value.
Type-safe data pipelines: query Snowtrace (Avalanche Explorer) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Snowtrace (Avalanche Explorer) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Snowtrace (Avalanche Explorer) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Snowtrace (Avalanche Explorer) responses and write comprehensive agent tests
Example Prompts for Snowtrace (Avalanche Explorer) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Snowtrace (Avalanche Explorer) immediately.
"What is the current AVAX balance of 0x742d35Cc6634C0532925a3b844Bc454e4438f44e?"
"Show me the last 5 ERC-20 transfers for wallet 0x123..."
"Get the ABI for the contract at 0x60ae616a2155ee3d9a68541ba4544862310933d4."
Troubleshooting Snowtrace (Avalanche Explorer) MCP Server with Pydantic AI
Common issues when connecting Snowtrace (Avalanche Explorer) to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSnowtrace (Avalanche Explorer) + Pydantic AI FAQ
Common questions about integrating Snowtrace (Avalanche Explorer) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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