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How to Use the Wemix Explorer MCP in Mastra AI

Build failure-proof, multi-step blockchain data pipelines with the Mastra AI MCP Server.

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Mastra AI

Connect Wemix Explorer MCP to Mastra AI

Create your Vinkius account to connect Wemix 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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Automated Data Discovery

Start a complex workflow by first listing all available tokens or recent network blocks. Tools like `list_tokens` and `list_blocks` gather initial data points for your process flow. This is the perfect starting point for any conditional logic. The Mastra AI framework handles this discovery automatically. It sees that you need to know what's on the chain, calls the MCP Server tools, and passes those results into the next step of the workflow.

Deep Transaction Inspection

Need to validate a specific transaction or block before proceeding? You use `get_block` or `get_extrinsic`. These calls fetch detailed data that Mastra AI can inspect. The system checks the parameters and makes decisions—for example, if the extrinsic fails validation, it triggers a retry. This depth of inspection is key for reliable automation. It's not just 'does it work?' but 'how exactly does it fail, and how do I fix that?'

Account Status Checks

Before executing a major action, you must check the state. Use `get_account_info` or `list_account_tokens` to verify ownership or balances. Mastra AI incorporates these checks into its workflow engine. If the balance is low, it automatically branches to notify an admin. The reliability comes from the built-in retries and conditional branching that make the MCP Server data usable in a structured process.

Setup guide

Set up Wemix 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 Wemix 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: "wemix-explorer-mcp-client",
  servers: {
    "wemix-explorer-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Wemix 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 Wemix Explorer. 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 Wemix Explorer MCP in Mastra AI

You define a workflow graph where nodes are steps. For instance, Step 1 calls `list_blocks`, and if the result meets criteria X, it moves to Step 2 which calls `get_account_info`. The MCP Server provides the data for each step.
Mastra AI handles this with automatic retries and exponential backoff. If calling `list_extrinsics` fails, the system doesn't crash; it tries again later or switches to an alternative process defined by you.
Absolutely. You can set up a workflow that runs nightly, pulling `list_account_transfers` and compiling the results into a structured report, all managed through the MCP Server.
You just need to pass the URL for the Wemix Explorer MCP Server. Because it's designed for complex workflows, it handles data dependencies and state management automatically.
This server touches various public blockchain data types, including account balances, block headers, and specific token transfer records. The MCP Server ensures you only get the data fields you request.

Start using the Wemix Explorer MCP today

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