How to Use the Blocknative (Ethereum Mempool API) MCP in Vercel AI SDK

Q: How do I install the Blocknative (Ethereum Mempool API) tool in my Vercel AI SDK project?

Install @ai-sdk/mcp and the core SDK via npm. Configure the MCP Server with the Vinkius HTTP URL, and pass the tool definitions directly to your text generator.

Q: Can the Vercel AI SDK handle gas spikes using the Blocknative (Ethereum Mempool API)?

Yes. Your agent can call getgasprices repeatedly within a loop to monitor gas trends. The streamed UI updates the user in real-time as the mempool shifts.

Q: How do I close the connection after fetching gas prices?

Always call mcpClient.close() once your generateText or streamText function finishes executing. This prevents hanging connections in your serverless environments.

Feed live Blocknative gas pricing directly into your React components using the Vercel AI SDK.

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Connect Blocknative (Ethereum Mempool API) MCP to Vercel AI SDK

Create your Vinkius account to connect Blocknative (Ethereum Mempool 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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Setup Blocknative (Ethereum Mempool API) with Vercel AI SDK

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Claude

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Real-time gas updates in your Vercel AI SDK stream

This MCP Server lets your chat interface pull the latest Blocknative gas prices via `get_gas_prices` mid-conversation. No lag. No old data. Just the current state of the Ethereum mempool. The Vercel AI SDK streams these live gas suggestions straight to the UI. Your users see the actual Gwei costs update on their screen without waiting for a full page refresh.

Dynamic UI adjustments based on `get_gas_prices`

Don't just show boring text. Use the Vercel AI SDK to render custom React components that change color when gas prices spike. Your agent calls the Blocknative tool and immediately passes the structured payload to your frontend. If the base fee is too high, the interface can suggest waiting.

Edge-compatible gas queries with this MCP Server

Speed is everything when dApp users are trying to catch a mint. Running this on Vercel Edge Functions ensures your agent gets Blocknative data with minimal latency. You import the client, call the tool, and close the connection instantly. No heavy node modules, just fast gas estimates delivered right when the user asks.

Setup guide

Set up Blocknative (Ethereum Mempool 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

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 Blocknative (Ethereum Mempool API) 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 Blocknative (Ethereum Mempool API) 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 Blocknative. 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 Blocknative (Ethereum Mempool API) MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and the core SDK via npm. Configure the MCP Server with the Vinkius HTTP URL, and pass the tool definitions directly to your text generator.

Yes. Your agent can call `get_gas_prices` repeatedly within a loop to monitor gas trends. The streamed UI updates the user in real-time as the mempool shifts.

Not at all. Because the Vercel AI SDK supports streaming tool calls, the UI renders the gas suggestions as soon as the tool returns the data.

Always call `mcpClient.close()` once your `generateText` or `streamText` function finishes executing. This prevents hanging connections in your serverless environments.

It only requests public gas fee estimates. No private keys, transaction payloads, or wallet addresses are ever processed or exposed by this connection.

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