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How to Use the Harmonyscan (Harmony One Block Explorer API) MCP in Vercel AI SDK

Stream live Harmony One blockchain data directly into React components without loading spinners using the Vercel AI SDK.

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Connect Harmonyscan (Harmony One Block Explorer API) MCP to Vercel AI SDK

Create your Vinkius account to connect Harmonyscan (Harmony One 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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Stream Live Harmony Data with Vercel AI SDK

Users hate waiting for blockchain queries to load. By pairing this MCP server with your streaming frontend, your agent fetches real-time balances using `get_balance` and pushes the results straight to the UI. This setup runs perfectly on edge functions to keep latency low. Display multi-address holdings with `get_balance_multi` or show the exact moment a transaction clears by streaming the output of `get_status` directly.

Inspect Smart Contracts in the UI

Let your users verify contract code on the fly. Your agent uses `get_source_code` and `get_abi` to pull raw contract details from the Harmony network, formatting them instantly for rendering. This approach eliminates the need to build custom indexers or write heavy backend code. The Vercel AI SDK handles payload transmission, presenting verified source code in a clean, readable code block inside your chat interface.

Track Live Token Transfers

Monitor token movements without building complex polling loops. The agent invokes `get_token_tx` to grab recent HRC20 transfers, parsing event logs to update your application state dynamically. If you need raw data, the `get_logs` tool pulls specific event signatures directly. You get clean, structured JSON payloads that map straight to React state, rendering transaction feeds in real time.

Setup guide

Set up Harmonyscan (Harmony One 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Harmonyscan (Harmony One Block Explorer API) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Harmonyscan (Harmony One Block Explorer API) transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Harmonyscan. 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.

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Common questions about Harmonyscan (Harmony One Block Explorer API) MCP in Vercel AI SDK

You configure the MCP client and call `get_one_price` inside your stream text function. The price data streams directly to your frontend components, letting users see the current ONE token valuation without refreshing the page.
Yes, you can pass the `get_balance_multi` tool directly to the SDK helper. The model parses the comma-separated addresses, fetches the balances, and renders them in your UI layout as soon as the data arrives.
The server proxies your calls to the explorer backend using tools like `get_tx_list`. Vercel AI SDK handles these tool calls asynchronously, meaning your UI stays responsive even when pulling long transaction histories.
Your agent calls `get_tx_receipt_status` to inspect the failure reason. The error details are immediately sent back through the stream, allowing your interface to show the exact point of failure to the user.
No. The server only processes public blockchain data like addresses, transaction hashes, and ABIs, with all traffic routed through a secure, ephemeral V8 sandbox. No private keys are ever requested, stored, or exposed during operations like `get_balance`.

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