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

Q: How do I monitor my BlockPi (Distributed RPC Network) usage within Vercel AI SDK?

You call the getruconsumed tool inside your server-side route. It returns the exact RU count for your specific endpoint, which you can then display in your frontend.

Q: How does this handle my private wallet data?

This server only reads your balance via getwalletbalance and does not store or process your private keys. Your financial data remains isolated within our encrypted transport layer.

Stream BlockPi (Distributed RPC Network) data directly into your Vercel AI SDK frontends for live, real-time updates.

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Connect BlockPi (Distributed RPC Network) MCP to Vercel AI SDK

Create your Vinkius account to connect BlockPi (Distributed RPC Network) to Vercel AI SDK 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 BlockPi (Distributed RPC Network) with Vercel AI SDK

Ask AI about this MCP

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Claude

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Real-time RPC execution in Vercel AI SDK

Feed your UI live blockchain data by piping `rpc_call` results straight into your streaming text responses. Your users watch the data populate the interface instantly instead of staring at a blank loading state. This MCP Server handles the handshake while you focus on rendering the JSON-RPC output. It keeps your edge functions lean by offloading the node communication to our infrastructure.

Track consumption inside your application

Call `get_ru_consumed` to show your users exactly how much compute their requests cost. It provides clear visibility into usage patterns without requiring an external dashboard. Your TypeScript code gets the raw numbers back as a standard object. You can then format these metrics into charts or alerts using your favorite React component library.

Manage your BlockPi (Distributed RPC Network) billing

Check `get_wallet_balance` or `get_package_expiration` to ensure your infrastructure stays funded. You can trigger automated warnings in your app when your balance dips below a specific threshold. This prevents sudden service outages for your users. It gives you programmatic control over your account status directly within your Vercel AI SDK development environment.

Setup guide

Set up BlockPi (Distributed RPC Network) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all BlockPi (Distributed RPC Network) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent BlockPi (Distributed RPC Network) transactions",
});

console.log(text);
await mcpClient.close();

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

You call the `get_ru_consumed` tool inside your server-side route. It returns the exact RU count for your specific endpoint, which you can then display in your frontend.

Yes, you catch these errors in your tool execution logic. Since the server runs as an MCP node, standard try-catch blocks in your TypeScript code capture failed RPC calls.

Your key lives in your environment variables, not the client code. The server keeps all sensitive credentials away from the browser, ensuring only your backend interacts with the endpoint.

You define your own timeout logic within your SDK handler. Since you control the `rpc_call` invocation, you decide how long to wait before failing gracefully.

This server only reads your balance via `get_wallet_balance` and does not store or process your private keys. Your financial data remains isolated within our encrypted transport layer.

Use it with your favorite AI tools

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