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How to Use the Gnosisscan (Gnosis Chain Explorer) MCP in Vercel AI SDK

Display live Gnosis Chain explorer data directly in your Next.js frontend using Vercel AI SDK.

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Connect Gnosisscan (Gnosis Chain Explorer) MCP to Vercel AI SDK

Create your Vinkius account to connect Gnosisscan (Gnosis Chain 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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Real-time on-chain balances and transaction history

The Gnosisscan (Gnosis Chain Explorer) MCP Server exposes tools like `get_account_balance` and `get_account_balance_multi` to feed live xDAI balances directly into your Vercel AI SDK UI. Your users get instant updates without waiting for a backend poller to refresh the page. By using `get_account_txlist` and `get_account_tokentx`, your streaming interface shows normal and ERC20 transactions as they happen. You write standard React code, and the SDK handles the incoming data stream to render clean tables on the fly.

Interactive Gnosis smart contract debugging in Vercel AI SDK

This MCP Server lets your frontend agent pull live smart contract details using `get_contract_abi` and `get_contract_sourcecode`. Developers can paste a contract address into your chat box and get instant, syntax-highlighted source code streamed directly to their screen. Execution checks happen instantly through `proxy_getcode` and `get_tx_status` so your interface can explain exactly why a Gnosis Chain transaction failed. The SDK feeds these raw blockchain responses straight into the LLM context to generate human-readable debugging steps.

Low-latency gas estimation and block tracking

The Gnosisscan (Gnosis Chain Explorer) MCP Server toolset includes `proxy_gasprice` and `proxy_estimategas` to let your AI client calculate transaction fees inside edge functions. Users get immediate pricing feedback before signing any transactions on Gnosis Chain. You can combine `get_block_countdown` and `proxy_blocknumber` to build live-updating countdown components that show exactly when a specific block will execute. The Vercel AI SDK streams these estimated times to keep your application's state perfectly synchronized with the network.

Setup guide

Set up Gnosisscan (Gnosis Chain 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. 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 Gnosisscan (Gnosis Chain Explorer) 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 Gnosisscan (Gnosis Chain Explorer) 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 Gnosisscan. 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 Gnosisscan (Gnosis Chain Explorer) MCP in Vercel AI SDK

You should implement client-side throttling or use a caching layer in your Next.js API routes before passing the tools to Vercel AI SDK. Since Gnosisscan limits free-tier requests, caching results for tools like `get_stats_gnoprice` prevents your edge functions from hitting 429 errors during heavy traffic.
Yes, you can. By passing the `get_contract_abi` tool to streamText, the Vercel AI SDK will stream the raw JSON ABI directly to your frontend. Your UI can parse this stream in real-time to render dynamic form fields for interacting with Gnosis Chain contracts.
Install the required package and create an MCP client pointing to your Vinkius endpoint URL. Pass the tools returned by the client into streamText inside your route handler, and remember to close the client once the stream finishes.
Yes, you can query `get_account_tokennfttx` to fetch NFT transfer histories for any Gnosis Chain address. The returned event log details can be formatted instantly by your AI client and displayed as a live feed in your web application.
This server only handles public Gnosis Chain data, such as wallet addresses, transaction hashes, smart contract ABIs, and event logs. No private keys, seed phrases, or sensitive user credentials are ever processed or exposed through these tools.

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