How to Use the Ankr (Web3 Node API) MCP in Mastra AI

Build resilient Web3 automation workflows in Mastra AI with automated retries and conditional chain operations.

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Connect Ankr (Web3 Node API) MCP to Mastra AI

Create your Vinkius account to connect Ankr (Web3 Node 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 Ankr (Web3 Node API) with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Mastra AI Workflow Automation

Chain `eth_getTransactionReceipt` and `eth_getLogs` within your agents to build complex monitoring loops. If a transaction fails to confirm, Mastra handles the logic for retrying or alerting. This setup allows you to build agents that watch for specific contract events. When a condition hits, the agent fires the next step in your sequence.

Automated Web3 Data Retrieval

Use `getAccountInfo` and `getProgramAccounts` to feed your agents the current state of any Solana-based protocol. Your agents make decisions based on the actual ledger data they pull. By adding these tools to your Mastra agent, you gain reliable access to network data. The agent framework ensures that every request completes or follows your defined error handling path.

Transaction Simulation and Validation

Run `simulateTransaction` before executing any real-world action on the chain. This prevents your agents from submitting bad data to the network. Your Mastra agent uses these results to decide if a transaction should proceed. It adds a safety layer to your automated processes by verifying outcomes before they hit the blockchain.

Setup guide

Set up Ankr (Web3 Node 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 Ankr (Web3 Node 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: "ankr-web3-node-api-mcp-client",
  servers: {
    "ankr-web3-node-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Ankr (Web3 Node API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Ankr (Web3 Node API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Ankr (Web3 Node API) transactions"
);
console.log(result.text);

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Common questions about Ankr (Web3 Node API) MCP in Mastra AI

Add the server to your configuration and spread the tools into your agent definition. It automatically handles the connection for your workflows.

Agents can call multiple tools sequentially to build complex chains of logic. It is perfect for tasks requiring cross-chain verification.

You can define retry policies within your workflow engine. The agent will handle transient network issues based on your settings.

It requires only a few lines of code to define the server. Once defined, your agents have immediate access to all 32 tools.

This server only interacts with public address history and transaction logs. It does not access or store your private keys, keeping your wallet data separate from the agent logic.

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