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How to Use the BlockPi (Distributed RPC Network) MCP in Mastra AI

Build complex blockchain workflows in Mastra AI using the BlockPi (Distributed RPC Network) MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect BlockPi (Distributed RPC Network) MCP to Mastra AI

Create your Vinkius account to connect BlockPi (Distributed RPC Network) 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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Automate RPC calls in Mastra AI workflows

Chain `rpc_call` operations into your agent's logic to handle multi-step interactions. If a transaction check fails, you can set up a conditional branch to retry the request or notify your team. This approach removes manual intervention from your blockchain monitoring tasks. Your agents execute the calls and process the responses based on your defined business logic.

Monitor RU balance for agent operations

Use `get_ru_balance` at the start of every workflow to verify you have enough capacity. This prevents your agents from failing mid-task due to insufficient Request Units. Your Mastra AI agent can interpret this balance and switch to a backup node if the current package is near its limit. It keeps your operations running without human oversight.

Track package status for BlockPi (Distributed RPC Network)

Run `get_package_expiration` as part of a recurring maintenance agent. It notifies your admin via Slack or email when your BlockPi subscription needs a renewal. This keeps your infrastructure uptime predictable. You spend less time checking status pages and more time building features into your agent framework.

Setup guide

Set up BlockPi (Distributed RPC Network) 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 BlockPi (Distributed RPC Network) 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: "blockpi-distributed-rpc-network-mcp-client",
  servers: {
    "blockpi-distributed-rpc-network-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent BlockPi (Distributed RPC Network) 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 BlockPi. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BlockPi (Distributed RPC Network) MCP in Mastra AI

You create an agent task that calls `get_ru_balance` periodically. If the value drops below your set limit, the agent executes an alert workflow to message your team.
Yes, you configure the retry policy in your agent's tool definition. If an RPC call fails, the framework automatically attempts the request again based on your backoff settings.
Absolutely, as long as each agent has access to the server. You share the same node connection across your crew, ensuring consistent RPC data for all your automated tasks.
You store your authentication tokens in your `.env` files. The framework loads these at runtime, keeping them out of your agent code and version control.
The server uses ephemeral sessions for every request. No logs of your specific blockchain queries are persisted on our side, keeping your transaction history private to your infrastructure.

Start using the BlockPi (Distributed RPC Network) MCP today

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