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

Build automated Ethereum gas workflows in Mastra AI using Blocknative mempool data.

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Connect Blocknative (Ethereum Mempool API) MCP to Mastra AI

Create your Vinkius account to connect Blocknative (Ethereum Mempool API) to Mastra AI 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 Mastra AI

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Claude

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Conditional branching on live gas fees with Mastra AI

Set up automated workflows using this MCP integration to check the mempool before committing transactions. Mastra AI can trigger `get_gas_prices` to decide whether to execute an on-chain action now or queue it. If the gas price returned by the Blocknative tool is above your threshold, the workflow branches. It can send an alert or wait for prices to cool down.

Automated retries for gas-sensitive Mastra agents

Ethereum gas fluctuated during a transaction? Mastra AI handles that by retrying the tool call with exponential backoff. Your agent calls `get_gas_prices` to get fresh Blocknative estimates, adjusts the transaction parameters, and tries again without failing the entire workflow.

Human-in-the-loop approvals for this MCP Server

Avoid burning money on high fees. Configure Mastra AI to pause and ask for human approval if the Blocknative gas estimate exceeds a specific Gwei limit. The workflow halts, sends the current `get_gas_prices` payload to your admin panel, and waits for a manual click before proceeding.

Setup guide

Set up Blocknative (Ethereum Mempool API) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Blocknative (Ethereum Mempool API) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "blocknative-ethereum-mempool-api-mcp-client",
  servers: {
    "blocknative-ethereum-mempool-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Blocknative (Ethereum Mempool API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Blocknative (Ethereum Mempool API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Blocknative (Ethereum Mempool API) transactions"
);
console.log(result.text);

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Common questions about Blocknative (Ethereum Mempool API) MCP in Mastra AI

Yes. You register the server URL in your Mastra configuration and spread the imported tools directly into your agent's toolset.

You can use Mastra's built-in retry logic. If the Blocknative tool hits a rate limit, the workflow backs off and retries the call automatically.

Only if you set it. You can use Mastra's tool approval feature to require confirmation whenever the agent wants to query gas prices.

Initialize the MCP Server client in your agent file, then deploy the bundle to your cloud provider. Mastra auto-detects the SSE transport for communication.

No. This MCP Server only fetches public gas price suggestions from Blocknative. Your transaction signing keys remain entirely separate inside your Mastra environment.

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