How to Use the Zetachain Explorer (ZetaChain Block Explorer API) MCP in Vercel AI SDK
Stream real-time blockchain data into your UI using Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zetachain Explorer (ZetaChain Block Explorer API) MCP to Vercel AI SDK
Create your Vinkius account to connect Zetachain Explorer (ZetaChain 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.
Live Transaction Monitoring
When a user needs to check transaction details, the `get_transaction` tool pulls the hash and core metadata. You stream this result directly into your Next.js component. This means users see the data populating in real-time—no loading spinner required. The AI client handles the call to `get_address_transactions`, and the results appear instantly, making it feel like a native UI element rather than an API fetch.
Real-Time Address Analysis
Building an address dashboard is simple. Your agent uses `get_address` to get basic details first. Then, calling `get_address_token_balances` streams the current token holdings immediately into your frontend state. This pattern lets you display multiple data points—like total tokens owned via `get_address_tokens`—as they arrive, giving users an immediate view of the asset's value.
Inspecting Block History
If you need to build a full block explorer, use the `list_blocks` tool. You can then iterate through blocks using `get_block`, and stream the details into your UI list component. For deeper dives, calling `get_block_transactions` streams every transaction found within that specific block hash, letting you render them as they are retrieved.
Set up Zetachain Explorer (ZetaChain Block Explorer API) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Zetachain Explorer (ZetaChain Block Explorer API) tools. Pass them directly togenerateText()orstreamText()— 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.
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 Zetachain Explorer (ZetaChain 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 ZetaChain Explorer. 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 Zetachain Explorer (ZetaChain Block Explorer API) MCP in Vercel AI SDK
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