How to Use the Blocknative (Ethereum Mempool API) MCP in OpenAI Agents SDK

Q: How do I connect the Blocknative (Ethereum Mempool API) MCP Server to my OpenAI Agents SDK?

Install the SDK, then initialize the server using MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server in the mcpservers list when instantiating your agent to enable auto-discovery.

Q: Can OpenAI Agents SDK handle rapid gas changes using the Blocknative (Ethereum Mempool API) server?

Yes. The getgasprices tool pulls live mempool data directly from Blocknative. Your agent can query this endpoint right before sending a transaction to ensure it uses the freshest pricing.

Q: How does tool caching work with this MCP setup?

Set cacheToolsList=True in your connection parameters. This stops the agent from refetching the tool definitions on every call, keeping your pipeline fast and responsive.

Feed live mempool gas prices to your OpenAI Agents SDK pipelines so your production agents never overpay for Ethereum transactions.

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Connect Blocknative (Ethereum Mempool API) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Blocknative (Ethereum Mempool API) to OpenAI Agents 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 OpenAI Agents SDK

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Predict Transaction Costs via OpenAI Agents SDK

Your agent needs to know the exact price of gas before signing a transaction. By exposing the `get_gas_prices` tool directly to your OpenAI Agents SDK setup, your agent gets real-time mempool data straight from Blocknative. No more guessing or using stale historical data. The tool feeds live 99% confidence estimates directly into your agent's decision loop. This keeps your automated transactions moving fast without burning extra ETH during sudden traffic spikes.

Safe Agent Handoffs for High-Gas Scenarios

If the gas price returned by `get_gas_prices` exceeds a safety threshold, your routing agent can halt the execution. It hands off the task to a specialized monitoring agent that waits for the mempool to cool down. This multi-agent coordination happens natively within your MCP architecture. You get full execution tracing on your dashboard, making it easy to audit why a transaction was paused.

Automated Gas Estimation with Zero Config

Setting up this MCP server takes just a few lines of Python. Your agents auto-discover the `get_gas_prices` tool, allowing them to instantly query Blocknative's mempool API without manual schema mapping. By enabling tool caching, you keep the agent's system prompt light and fast. Your agent checks the mempool, matches the current gas price against your budget, and executes only when the math makes sense.

Setup guide

Set up Blocknative (Ethereum Mempool API) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Blocknative (Ethereum Mempool API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Blocknative (Ethereum Mempool API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Blocknative (Ethereum Mempool API) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Blocknative (Ethereum Mempool API) Agent",
            instructions="You have access to Blocknative (Ethereum Mempool API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the SDK, then initialize the server using `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass this server in the `mcp_servers` list when instantiating your agent to enable auto-discovery.

Yes. The `get_gas_prices` tool pulls live mempool data directly from Blocknative. Your agent can query this endpoint right before sending a transaction to ensure it uses the freshest pricing.

Yes, you can write custom guardrails that intercept the output of `get_gas_prices`. This lets you block execution if the current gas price exceeds your predefined budget.

Set `cacheToolsList=True` in your connection parameters. This stops the agent from refetching the tool definitions on every call, keeping your pipeline fast and responsive.

Your gas queries do not expose your private keys or wallet balances. Only the general gas estimation requests pass through the Vinkius proxy to the Blocknative API, keeping your transactional intent private.

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