How to Use the Blockchair (Universal Blockchain Search Engine & API) MCP in Mastra AI

Q: How do I validate addresses before a workflow starts?

Run validateaddress at the start of your agent chain. It ensures the target is correct before the agent performs any expensive lookups.

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Connect Blockchair (Universal Blockchain Search Engine & API) MCP to Mastra AI

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Setup Blockchair (Universal Blockchain Search Engine & API) with Mastra AI

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Perplexity

Automate chain analysis in Mastra AI

Trigger complex logic based on blockchain events. Use `get_blockchain_stats` to feed your Mastra agents the current state of a chain before they decide on the next step. You can set up conditional branches that execute only when specific chain metrics cross your defined thresholds.

Manage wallet monitoring with Mastra AI

Track HD wallet activity by using `get_xpub`. Your agent can watch for new transactions and trigger alerts or follow-up actions automatically. This keeps your operations running without manual oversight. If a wallet hits a target balance, the workflow continues to the next task.

Handle internal contract calls

Examine internal Ethereum transactions using `get_contract_calls`. Your Mastra AI agent can trace how a contract interacts with other addresses. It provides deep visibility into complex smart contract behavior. You get a clear log of internal movements that simple explorers often hide.

Setup guide

Set up Blockchair (Universal Blockchain Search Engine & 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 Blockchair (Universal Blockchain Search Engine & 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: "blockchair-universal-blockchain-search-engine-api-mcp-client",
  servers: {
    "blockchair-universal-blockchain-search-engine-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Blockchair (Universal Blockchain Search Engine & API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Blockchair (Universal Blockchain Search Engine & API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Blockchair (Universal Blockchain Search Engine & API) transactions"
);
console.log(result.text);

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Common questions about Blockchair (Universal Blockchain Search Engine & API) MCP in Mastra AI

Absolutely. Just add the server to your agent's tool list. You can then chain these tools into any workflow step.

It does. Set up a recurring agent task that polls specific addresses. It will notify you the moment a condition is met.

Yes. Use the tool output to determine the next agent action. If a transaction count is high, you can branch to a deep analysis task.

Run `validate_address` at the start of your agent chain. It ensures the target is correct before the agent performs any expensive lookups.

The server transmits only public chain data. We do not store or log your specific search queries or address histories.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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