How to Use the IoTeX (IoTeX Block Explorer API) MCP in Mastra AI

Build complex IoTeX blockchain workflows with automated retries using the Mastra AI framework.

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Connect IoTeX (IoTeX Block Explorer API) MCP to Mastra AI

Create your Vinkius account to connect IoTeX (IoTeX 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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Setup IoTeX (IoTeX Block Explorer API) with Mastra AI

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Automate IoTeX workflows with Mastra AI

Chain multiple operations together using `get_account_actions` and `get_action`. If a query fails, the framework handles the retry logic for you. This keeps your agent pipelines stable. You define the workflow once and let the engine manage the execution flow.

Conditional branching for IoTeX in Mastra AI

Use `get_block_by_height` to trigger specific actions based on chain state. You can route logic based on the data returned by the server. This is ideal for monitoring nodes or triggers. Your agents act only when the data matches your defined criteria.

Manage IoTeX state in Mastra AI agents

Track token holders and account status using `get_token_holders` and `get_account`. You can build logic that reacts to changes in ownership or balance. Your agents maintain context across steps. This gives you a reliable way to monitor IoTeX activity without manual intervention.

Setup guide

Set up IoTeX (IoTeX 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

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 IoTeX (IoTeX Block Explorer API) 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: "iotex-iotex-block-explorer-api-mcp-client",
  servers: {
    "iotex-iotex-block-explorer-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about IoTeX (IoTeX Block Explorer API) MCP in Mastra AI

Add the server URL to your MCP client config in Mastra. The tools will then appear as available functions for your agents to invoke.

Yes. You can require approval for any tool call. This ensures a human reviews the data before the agent proceeds with a workflow.

All data queries are isolated within your execution environment. The server only reads public chain data and does not store your history.

Yes. The framework includes built-in retry mechanisms. You can configure backoff settings to handle intermittent network issues.

You can specify which tools to expose to each agent. This limits the agent's access to only the data it actually needs.

Use it with your favorite AI tools

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