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How to Use the Aurorascan (Aurora Network L2 Block Explorer API) MCP in Mastra AI

Build resilient, self-healing Aurora L2 block-monitoring workflows using Mastra AI and this high-performance MCP Server.

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Connect Aurorascan (Aurora Network L2 Block Explorer API) MCP to Mastra AI

Create your Vinkius account to connect Aurorascan (Aurora Network L2 Block Explorer API) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Conditional Workflows for Aurora Transactions

Mastra AI lets you build complex multi-step agents that don't fall over when a transaction fails. By hooking up this MCP Server, your agent can execute `get_tx_receipt_status` to monitor a critical transfer. If the receipt shows a failure, the workflow engine automatically triggers a retry or routes the issue to an admin. You can program conditional branches based on real-time gas prices. The agent queries `proxy_gas_price` and waits to execute heavy contract interactions until fees drop below your specified threshold.

Automated Token Supply and Balance Monitoring

Keep tabs on token metrics without writing cron jobs. Your Mastra AI agents can run scheduled checks using `get_token_supply` and `get_token_balance` to track liquidity movements on the Aurora L2 network. If a whale wallet moves a massive amount of ERC20 tokens, the agent catches the event via `get_token_tx`. It then executes your custom notification workflow to alert your team on Slack or Discord.

Verified Source Code Audits in Workflows

Automate your smart contract analysis pipelines. This MCP Server exposes `get_source_code` and `get_abi` directly to Mastra's toolset, allowing your agents to pull verified source codes on the fly. Once the agent gets the raw code, it can run static analysis or security checks as part of a multi-step Mastra workflow. You get a fully automated security pipeline that triggers every time a new contract is verified on Aurorascan.

Setup guide

Set up Aurorascan (Aurora Network L2 Block Explorer API) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Aurorascan (Aurora Network L2 Block Explorer API) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "aurorascan-aurora-network-l2-block-explorer-api-mcp-client",
  servers: {
    "aurorascan-aurora-network-l2-block-explorer-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Aurorascan (Aurora Network L2 Block Explorer API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Aurorascan (Aurora Network L2 Block Explorer API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Aurorascan (Aurora Network L2 Block Explorer API) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aurorascan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Aurorascan (Aurora Network L2 Block Explorer API) MCP in Mastra AI

You register the server URL in your Mastra configuration and spread the tools directly into your agent's tool array. The agent can then call `get_balance` or `get_logs` whenever a workflow step requires real-time L2 data.
Yes, Mastra's workflow engine has built-in exponential backoff. If a call to `get_tx_list` times out due to network congestion, the system retries the query automatically without crashing your agent.
You configure `requireToolApproval` on critical tools like `verify_source_code`. This pauses the Mastra workflow and waits for a manual thumbs-up before sending the verification request to the Aurora network.
Yes, Mastra automatically detects the transport type, meaning you can connect to the server via SSE or Streamable HTTP. This makes it incredibly easy to deploy your agents to serverless environments.
Your Aurorascan API keys and query parameters are kept strictly within your own runtime environment. The MCP Server doesn't log or store your blockchain queries or wallet addresses, keeping your L2 data operations secure and private.

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