Bring Avalanche Blockchain
to CrewAI
Learn how to connect Snowtrace (Avalanche Explorer) to CrewAI 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 CrewAI?
When paired with CrewAI, Snowtrace (Avalanche Explorer) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Snowtrace (Avalanche Explorer) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Snowtrace (Avalanche Explorer) in CrewAI
Snowtrace (Avalanche Explorer) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Snowtrace (Avalanche Explorer) to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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