How to Use the IoTeX (IoTeX Block Explorer API) MCP in Vercel AI SDK

Stream real-time IoTeX blockchain data directly into your Vercel AI SDK frontends for live user updates.

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Connect IoTeX (IoTeX Block Explorer API) MCP to Vercel AI SDK

Create your Vinkius account to connect IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) with Vercel AI SDK

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Real-time IoTeX data streams in Vercel AI SDK

Feed blockchain state directly into your React components. Use `get_account` to pull balances or `get_recent_actions` to watch chain activity as it happens. Your UI updates instantly. By piping these tools into streamText, you eliminate the need for manual polling logic or external API proxies.

Inspect IoTeX actions with Vercel AI SDK

Grab specific transaction details using `get_action` or `get_block_by_hash`. You get the raw data structure back immediately for parsing. This makes debugging or displaying transaction history simple. Just pass the hash to the tool and render the response in your interface.

Query IoTeX token data in Vercel AI SDK

Get contract details and holder lists with `get_token` and `get_token_holders`. You can now build dashboards that show asset distribution without writing custom indexers. Everything stays within your edge function cycle. It is the fastest way to get IoTeX chain data into your production app.

Setup guide

Set up IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) 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 IoTeX (IoTeX Block Explorer API) transactions",
});

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

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Common questions about IoTeX (IoTeX Block Explorer API) MCP in Vercel AI SDK

Install the MCP packages and set the transport URL. Once connected, your agents can call any of the eight available tools via the standard tool-calling interface.

Yes. Because these tools are compatible with streaming, the data flows into your UI as soon as the MCP server returns it.

The server only performs read-only queries on public blockchain data. It never touches your private keys or sensitive user credentials.

The tool returns an error response that you can catch in your agent logic. You should implement standard try-catch blocks to handle network timeouts.

Yes. The server provides a standard interface that maps perfectly to TypeScript. You get full type safety for every tool result.

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