How to Use the Lineascan MCP in Vercel AI SDK

Q: Can I calculate Linea gas estimates live in a Vercel AI SDK chat?

Yes, you feed ethestimategas directly into your Vercel AI SDK streaming loop. Your user describes a transaction, the SDK calls the Lineascan tool, and the estimated gas cost prints on screen.

Stream real-time Linea chain data directly to your Next.js UI using Vercel AI SDK.

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Connect Lineascan MCP to Vercel AI SDK

Create your Vinkius account to connect Lineascan 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 Lineascan with Vercel AI SDK

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Stream Linea contract verification status to your UI

`check_verify_status` feeds live deployment updates directly to your Vercel AI SDK React components without page refreshes. Your Vercel AI SDK application renders the compilation status the millisecond the Lineascan API returns it. You write clean frontend code while `verify_source_code` handles the compilation checks on the Linea network.

Render live token transfers without loading states

`token_tx` pulls ERC-20 transfer histories and streams them straight into your streaming Vercel AI SDK UI components. Users watch their Linea transaction lists populate row-by-row instead of staring at a static loading spinner. This approach keeps memory usage low on your edge runtime while `token_nft_tx` fetches live NFT histories directly from the Linea network.

Zero-loading-spinner balance checks via this MCP Server

`balance_multi` fetches multiple wallet balances over a single connection to populate Vercel AI SDK dashboard tables instantly. This client requests the data and streams the numeric Linea results straight to the user's viewport. It bypasses slow database syncs by pulling directly from Linea with `get_balance` updates.

Setup guide

Set up Lineascan 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 Lineascan 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 Lineascan transactions",
});

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

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Common questions about Lineascan MCP in Vercel AI SDK

Initialize the client using createMCPClient pointing to the Lineascan endpoint on Vinkius. Pass mcpClient.tools() into streamText to let your Vercel AI SDK agent call Linea endpoints like tx_list or get_abi dynamically.

Yes, by passing the Lineascan tools to your Vercel AI SDK runtime. The agent invokes get_source_code and streams the Solidity code straight into your Next.js code viewer.

Vinkius manages the underlying Lineascan API keys and connection pooling. Your Vercel AI SDK edge functions make standard HTTP requests, meaning you do not have to worry about managing individual Lineascan API keys or IP blocks.

Yes, you feed eth_estimate_gas directly into your Vercel AI SDK streaming loop. Your user describes a transaction, the SDK calls the Lineascan tool, and the estimated gas cost prints on screen.

This MCP integration only processes public Linea blockchain data like address balances, transaction hashes, and smart contract ABIs. Vercel AI SDK executes the calls inside isolated sandboxes, ensuring your private keys never leak to the public Linea network.

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