How to Use the FtmScan (Fantom Network Explorer) MCP in Vercel AI SDK

Q: How do I connect FtmScan (Fantom Network Explorer) to the Vercel AI SDK?

Install @ai-sdk/mcp. Use createMCPClient with your HTTP transport URL, then pass mcpClient.tools() into your streamText call. Close the client when the stream finishes.

Q: Can the Vercel AI SDK stream FtmScan (Fantom Network Explorer) token transfers?

Yes. When your agent calls geterc20transfers or geterc721transfers, the Vercel AI SDK streams the resulting JSON into your React frontend. Users see the transfer history render in real-time.

Stream live Fantom blockchain data directly into your React components with the Vercel AI SDK.

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Connect FtmScan (Fantom Network Explorer) MCP to Vercel AI SDK

Create your Vinkius account to connect FtmScan (Fantom Network Explorer) 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 FtmScan (Fantom Network Explorer) with Vercel AI SDK

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Stream FTM balances to your frontend

Building a portfolio tracker means users want numbers now, not after a loading spinner. You plug the FtmScan MCP Server into your Vercel AI SDK setup, and the agent calls `get_ftm_balance_multi` or `get_erc20_token_balance` while the UI renders the response chunk by chunk. The same applies to transaction histories. Instead of forcing users to refresh a static table, your application can stream the output of `get_normal_transactions` straight into a Next.js component. They see their recent on-chain activity appear live.

Vercel AI SDK contract analysis

Developers building block explorers or auditing tools need raw contract data fast. Your AI client can grab the exact logic running on-chain using `get_contract_source_code` and immediately start explaining it to the end user. If a user asks why a specific transaction failed, the agent pulls the data with `get_transaction_receipt_status` and reads the event output via `get_logs`. The Vercel AI SDK streams that diagnostic breakdown right into the chat interface.

Live market data at the edge

You can run these queries right from Vercel Edge Functions. When a user asks for the current network valuation, your agent hits `get_ftm_last_price` and `get_ftm_total_supply` without spinning up a heavy backend process. It also handles token-specific metrics. If someone wants to know the inflation schedule of a new decentralized finance token, the agent runs `get_erc20_token_supply` and streams the math back to the client immediately.

Setup guide

Set up FtmScan (Fantom Network Explorer) 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 FtmScan (Fantom Network Explorer) 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 FtmScan (Fantom Network Explorer) transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FtmScan. 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 FtmScan (Fantom Network Explorer) MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. Use `createMCPClient` with your HTTP transport URL, then pass `mcpClient.tools()` into your `streamText` call. Close the client when the stream finishes.

Yes. When your agent calls `get_erc20_transfers` or `get_erc721_transfers`, the Vercel AI SDK streams the resulting JSON into your React frontend. Users see the transfer history render in real-time.

It works perfectly at the edge. You just need to ensure your AI client passes the correct HTTP transport endpoint to the server during setup.

The Vercel AI SDK handles large text streams naturally. Your frontend will start rendering the parsed ABI structure as soon as the first chunks arrive from the MCP connection.

The server only reads public blockchain data like wallet addresses and transaction hashes. Vinkius runs the connection in an ephemeral V8 Isolate sandbox, meaning your queried addresses are never logged or stored after the session ends.

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