Snowtrace (Avalanche Explorer) MCP Server for CrewAIGive CrewAI instant access to 21 tools to Check Contract Execution Status, Check Transaction Receipt Status, Check Verify Status, and more

Name: Snowtrace (Avalanche Explorer)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Snowtrace (Avalanche Explorer) through Vinkius, pass the Edge URL in the `mcps` parameter and every Snowtrace (Avalanche Explorer) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Snowtrace (Avalanche Explorer) MCP Server for CrewAI is a standout in the Databases category — giving your AI agent 21 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Snowtrace (Avalanche Explorer) Specialist",
    goal="Help users interact with Snowtrace (Avalanche Explorer) effectively",
    backstory=(
        "You are an expert at leveraging Snowtrace (Avalanche Explorer) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Snowtrace (Avalanche Explorer) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 21 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

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.

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 CrewAI 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 CrewAI

When CrewAI 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

Check contract execution status on Snowtrace (Avalanche Explorer)

Check Contract Execution Status

check

Check transaction receipt status on Snowtrace (Avalanche Explorer)

Check Transaction Receipt Status

check

Check verify status on Snowtrace (Avalanche Explorer)

Check Verification Status

get

Get avax balance on Snowtrace (Avalanche Explorer)

Get AVAX Balance for a Single Address

get

Get avax balance multi on Snowtrace (Avalanche Explorer)

Get AVAX Balance for Multiple Addresses

get

Get avax last price on Snowtrace (Avalanche Explorer)

Get AVAX Last Price

get

Get avax total supply on Snowtrace (Avalanche Explorer)

Get Total Supply of AVAX

get

Get block countdown on Snowtrace (Avalanche Explorer)

Get Estimated Block Countdown

get

Get block number by time on Snowtrace (Avalanche Explorer)

Get Block Number by Timestamp

get

Get block reward on Snowtrace (Avalanche Explorer)

Get Block Rewards

get

Get contract abi on Snowtrace (Avalanche Explorer)

Get Contract ABI

get

Get contract source code on Snowtrace (Avalanche Explorer)

Get Contract Source Code

get

Get erc20 transfers on Snowtrace (Avalanche Explorer)

Get ERC-20 Token Transfer Events

get

Get erc721 transfers on Snowtrace (Avalanche Explorer)

Get ERC-721 (NFT) Token Transfer Events

get

Get internal transactions on Snowtrace (Avalanche Explorer)

Get Internal Transactions

get

Get logs on Snowtrace (Avalanche Explorer)

Get Logs

get

Get mined blocks on Snowtrace (Avalanche Explorer)

Get Blocks Mined by Address

get

Get normal transactions on Snowtrace (Avalanche Explorer)

Get Normal Transactions by Address

get

Get token balance on Snowtrace (Avalanche Explorer)

Get ERC-20 Token Balance for Address

get

Get token total supply on Snowtrace (Avalanche Explorer)

Get ERC-20 Token Total Supply

verify

Verify source code on Snowtrace (Avalanche Explorer)

Verify Source Code

Connect Snowtrace (Avalanche Explorer) to CrewAI via MCP

Follow these steps to wire Snowtrace (Avalanche Explorer) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 21 tools from Snowtrace (Avalanche Explorer)

Why Use CrewAI with the Snowtrace (Avalanche Explorer) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Snowtrace (Avalanche Explorer) through the Model Context Protocol.

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

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter 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) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Snowtrace (Avalanche Explorer) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Snowtrace (Avalanche Explorer) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Snowtrace (Avalanche Explorer), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Snowtrace (Avalanche Explorer) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Snowtrace (Avalanche Explorer) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Snowtrace (Avalanche Explorer) in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Snowtrace (Avalanche Explorer) to CrewAI through Vinkius, and how to resolve them.

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.

Snowtrace (Avalanche Explorer) + CrewAI FAQ

Common questions about integrating Snowtrace (Avalanche Explorer) MCP Server with CrewAI.

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.