How to Use the GetBlock (Web3 RPC Provider) MCP in Mastra AI

Q: How do I add GetBlock (Web3 RPC Provider) tools to Mastra AI?

Initialize a new MCPClient and map your GetBlock URL in the servers object. Call mcpClient.listTools() and spread the results into your agent's tool array.

Q: Can GetBlock (Web3 RPC Provider) trace failed Ethereum transactions in Mastra AI?

Yes. Use debugtracecall to simulate the exact conditions of the failure. Mastra can pipe that debug output into an error-handling workflow.

Q: Are Bitcoin PSBTs supported by GetBlock (Web3 RPC Provider) in Mastra AI?

You can generate them with btccreatepsbt and inspect them using btcanalyzepsbt. This lets your Mastra agent validate inputs and outputs before asking a human to sign.

Build resilient Web3 workflows. Connect Mastra AI to GetBlock for automated on-chain retries, transaction monitoring, and multi-step execution.

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Connect GetBlock (Web3 RPC Provider) MCP to Mastra AI

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Setup GetBlock (Web3 RPC Provider) with Mastra AI

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Mastra AI Node Operations

The `btc_createpsbt` tool builds partially signed Bitcoin transactions as step one in your workflow. Mastra AI takes that output, routes it to an external signer, and then loops back. Once signed, the workflow triggers `btc_sendrawtransaction` to broadcast the final payload. Network congestion happens. Mastra's built-in exponential backoff catches timeout errors from the RPC node. If the mempool is full, the agent waits five minutes and tries the broadcast again automatically.

Monitor Cross-Chain State

The `eth_get_transaction_receipt` tool checks if a decentralized exchange swap actually settled. You configure a Mastra workflow to poll this endpoint after a user initiates a trade. If the receipt shows a failure, the agent branches the logic. It fires `debug_trace_transaction` to figure out why the contract reverted, then alerts your engineering Slack channel with the exact stack trace.

Manage Solana Account Data

The `sol_get_account_info` tool pulls raw base64 encoded data from any program on the cluster. Your agent decodes this payload to verify user balances or NFT ownership before allowing access to gated content. You string this together with `sol_get_latest_blockhash`. The workflow grabs a fresh blockhash, constructs a custom instruction, and submits it via `sol_send_transaction`. Every step is isolated and retryable.

Setup guide

Set up GetBlock (Web3 RPC Provider) 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 GetBlock (Web3 RPC Provider) 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: "getblock-web3-rpc-provider-mcp-client",
  servers: {
    "getblock-web3-rpc-provider-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent GetBlock (Web3 RPC Provider) transactions"
);
console.log(result.text);

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Common questions about GetBlock (Web3 RPC Provider) MCP in Mastra AI

Initialize a new `MCPClient` and map your GetBlock URL in the servers object. Call `mcpClient.listTools()` and spread the results into your agent's tool array.

Yes. Use `debug_trace_call` to simulate the exact conditions of the failure. Mastra can pipe that debug output into an error-handling workflow.

Mastra catches HTTP 429 errors natively. It applies exponential backoff and retries the `rpc_call` automatically without crashing your main application thread.

You can generate them with `btc_createpsbt` and inspect them using `btc_analyzepsbt`. This lets your Mastra agent validate inputs and outputs before asking a human to sign.

Vinkius processes your block hashes and signed hex payloads entirely in memory. The ephemeral sandbox wipes all trace of your workflow variables the second the execution finishes.

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