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How to Use the FtmScan (Fantom Network Explorer) MCP in Mastra AI

Build resilient Fantom blockchain workflows with Mastra AI and automatic retries.

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Connect FtmScan (Fantom Network Explorer) MCP to Mastra AI

Create your Vinkius account to connect FtmScan (Fantom 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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Conditional transaction verification

Blockchain queries fail. RPC nodes lag. With Mastra AI, you can build workflows that handle this reality. If your agent calls `get_transaction_status` and gets a pending state, the workflow engine automatically waits and retries using exponential backoff. Once the transaction clears, the workflow branches. A success triggers `get_transaction_receipt_status` to confirm gas used, while a failure routes the agent to pull `get_internal_transactions` to figure out which nested call reverted.

Mastra AI smart contract auditing

You can build an automated auditing pipeline that runs without human babysitting. The agent starts by fetching the code with `get_contract_source_code` and checking the interfaces via `get_contract_abi`. If the agent spots a suspicious function, Mastra's workflow engine can pause and require human-in-the-loop approval before proceeding. Once approved, it dives deeper into historical behavior using `get_logs` to map out past exploits.

Reliable portfolio synchronization

Tracking whale wallets requires pulling massive lists of token movements. Your agent uses `get_erc20_transfers` and `get_erc721_transfers` to build a complete history. If the FtmScan API rate limits the request, Mastra simply queues it for a retry. You can set up a daily sync where the agent checks `get_ftm_balance_multi` across fifty addresses. The MCP Server handles the raw data fetching while Mastra orchestrates the database updates and failure alerts.

Setup guide

Set up FtmScan (Fantom 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. 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 FtmScan (Fantom Network Explorer) 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: "ftmscan-fantom-network-explorer-mcp-client",
  servers: {
    "ftmscan-fantom-network-explorer-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent FtmScan (Fantom Network Explorer) 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 FtmScan. 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 FtmScan (Fantom Network Explorer) MCP in Mastra AI

Install `@mastra/mcp@latest`. Initialize an `MCPClient` with your server URL, call `listTools()`, and spread the resulting tools into your Mastra agent configuration.
Yes. Mastra's built-in workflow engine handles transient errors from the FtmScan API. If a `get_eth_block_number` call times out, the agent retries automatically based on your backoff settings.
You can use Mastra's `requireToolApproval` flag. When the agent tries to call `get_contract_source_code` on a flagged address, the workflow pauses until an admin approves the action.
Mastra auto-detects the transport layer. You just provide the Vinkius endpoint, and it negotiates the best connection for the MCP Server automatically.
The server strictly processes public on-chain identifiers like ERC20 contract addresses and transaction hashes. Vinkius routes these MCP requests through a zero-trust, ephemeral sandbox, ensuring your specific query patterns vanish the moment the workflow completes.

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