How to Use the Moonscan (Moonbeam Network Explorer) MCP in Mastra AI

Build resilient automated workflows on Mastra AI using direct access to Moonbeam network data.

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Connect Moonscan (Moonbeam Network Explorer) MCP to Mastra AI

Create your Vinkius account to connect Moonscan (Moonbeam Network Explorer) 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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Setup Moonscan (Moonbeam Network Explorer) with Mastra AI

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Automate contract verification in Mastra AI

Trigger audit workflows by calling `get_contract_source_code` and `get_contract_abi` within your agents. If the source doesn't match the expected hash, trigger a failure branch. Build agents that check `get_contract_execution_status` after a deployment. It ensures your automation only proceeds if the contract is actually live on the network.

Handle failed transactions with MCP Server

Set up retry logic by monitoring `get_tx_receipt_status` after your agent sends an interaction. If the status returns as failed, your workflow engine handles the logic automatically. Use `proxy_eth_get_transaction_receipt` for deep inspection of failed calls. It provides the exact error data needed to diagnose why a transaction reverted.

Build multi-step financial workflows

Sequence your agent actions by combining `get_glmr_last_price` with `get_erc20_balance`. You can calculate total portfolio value across multiple tokens in a single agent step. Use `get_block_number_by_time` to align your workflow with specific network events. It allows you to build time-sensitive triggers for your automated trading bots.

Setup guide

Set up Moonscan (Moonbeam Network Explorer) 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Moonscan (Moonbeam Network Explorer) tools become native Mastra tools.
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: "moonscan-moonbeam-network-explorer-mcp-client",
  servers: {
    "moonscan-moonbeam-network-explorer-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Moonscan (Moonbeam Network Explorer) transactions"
);
console.log(result.text);

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Common questions about Moonscan (Moonbeam Network Explorer) MCP in Mastra AI

You instantiate the client and spread the tools into your agent definition. Mastra AI then gives your agents the ability to read chain state directly.

Absolutely. You can use the transaction receipt tools to verify if a call succeeded and trigger a retry branch if it did not.

It is. Because the tools are standard, they work inside any agent step or sequence you design within your workflow engine.

Yes, you can restrict the toolset to only allow specific reads. This keeps your agent focused and prevents unintended actions.

No. It is a stateless bridge that queries the blockchain on demand. It does not cache or store your transaction records locally.

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