Bring Avalanche Blockchain
to Pydantic AI
Learn how to connect Snowtrace (Avalanche Explorer) to Pydantic AI and start using 21 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Snowtrace API Key
- Start querying Avalanche data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web3 Developers — quickly fetch contract ABIs and debug transaction execution status from your IDE.
- Data Analysts — aggregate wallet balances and token transfer history for on-chain research.
- Crypto Enthusiasts — monitor your portfolio and track NFT movements using natural language.
Built-in capabilities (21)
Check Contract Execution Status
Check Transaction Receipt Status
Check Verification Status
Get AVAX Balance for a Single Address
Get AVAX Balance for Multiple Addresses
Get AVAX Last Price
Get Total Supply of AVAX
Get Estimated Block Countdown
Get Block Number by Timestamp
Get Block Rewards
Get Contract ABI
Get Contract Source Code
Get ERC-20 Token Transfer Events
Get ERC-721 (NFT) Token Transfer Events
Get Internal Transactions
Get Logs
Get Blocks Mined by Address
Get Normal Transactions by Address
Get ERC-20 Token Balance for Address
Get ERC-20 Token Total Supply
Verify Source Code
Why Pydantic AI?
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.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Snowtrace (Avalanche Explorer) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Snowtrace (Avalanche Explorer) connection logic from agent behavior for testable, maintainable code
Snowtrace (Avalanche Explorer) in Pydantic AI
Snowtrace (Avalanche Explorer) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Snowtrace (Avalanche Explorer) 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.
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 |
Why teams choose Vinkius for Snowtrace (Avalanche Explorer) in Pydantic AI
The Snowtrace (Avalanche Explorer) 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 21 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.
* 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
How Vinkius secures
Snowtrace (Avalanche Explorer) for Pydantic AI
Every tool call from Pydantic AI to the Snowtrace (Avalanche Explorer) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the balance of multiple Avalanche addresses at once?
Yes. Use the get_avax_balance_multi tool and provide a comma-separated list of up to 20 addresses to get all balances in a single response.
How do I track specific token movements like USDT or NFTs?
You can use get_erc20_transfers for standard tokens or get_erc721_transfers for NFTs. You can filter by wallet address or specific contract address to narrow down the results.
Is it possible to see the source code of a verified contract?
Absolutely. The get_contract_source_code tool retrieves the verified Solidity source code and metadata for any contract address that has been verified on Snowtrace.
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 Snowtrace (Avalanche Explorer) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai
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