Blocknative MCP for AI. Calculate optimal costs for any Ethereum transaction.
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…and any MCP-compatible client








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Get real-time gas price suggestions for Ethereum transactions directly from live mempool data. This MCP helps you calculate optimal transaction costs based on current network congestion and confidence levels.
What your AI can do
Get gas prices
Retrieves current gas price suggestions based on the latest Ethereum mempool data.
The MCP pulls live suggestions for base and priority fees needed to send an Ethereum transaction.
You can compare different confidence levels (e.g., 99% vs. 70%) to decide if you need to pay more for faster inclusion in the next block.
The system reads live mempool conditions, giving you insight into how busy the Ethereum network currently is.
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Blocknative (Ethereum Mempool API) with 1 Tool
This MCP gives you access to current, live data on Ethereum's mempool conditions and suggests the best gas prices for your transactions.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Blocknative (Ethereum Mempool API) on VinkiusGet Gas Prices
Retrieves current gas price suggestions based on the latest Ethereum mempool data.
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Start with Blocknative (Ethereum Mempool API), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Guessing Gas Fees Costs You Time and Tokens
Today, figuring out how much gas you need feels like a guessing game. You open one tab for the base fee, another for current mempool activity, maybe check an old guide just to see what 'normal' looks like. Then you have to cross-reference three different sources, constantly wondering if your estimate is going to be wrong or if you’re about to overpay by a huge margin.
With this MCP, that manual effort vanishes. You ask your agent for the gas price suggestions, and it instantly pulls data from live mempool conditions. You get back clear recommendations—optimal fees based on whether you prioritize speed or cost. It's all in one place.
Get Real-Time Gas Price Suggestions with get_gas_prices
You no longer have to open multiple sites just to check if the network is congested. You don't need to manually compare 99% confidence data against 70% data points; your agent handles that comparison for you.
Now, when you ask for gas prices, you get a definitive answer: what fees will work right now. It’s immediate, actionable cost intelligence.
What your AI can actually do with this
Sending a transaction on Ethereum is simple, but knowing the right cost isn't. This MCP connects your agent to Blocknative, giving you instant access to gas price estimations derived from real-time mempool monitoring. Instead of guessing or checking multiple dashboards, your AI client pulls data that suggests optimal base and priority fees based on current network demand.
You can compare different confidence tiers—like 99% vs. 70%—to balance speed against cost for whatever you're sending. This whole process is available through the Vinkius Marketplace, meaning you connect once to your preferred AI client (Claude, Cursor, etc.) and gain access to this critical Ethereum data.
It’s designed so that whether you're deploying a smart contract or just making a small trade, you get a reliable cost estimate before you commit. This cuts down the guesswork involved in Web3 development.
019e5d00-c64b-73ee-9793-ad90e6bfdfaf Here's how it actually works
The bottom line is that you get accurate, real-time fee estimates without having to check external websites or guess at network demand.
Subscribe to this MCP and enter your Blocknative API Key.
Ask your AI agent for current gas prices before executing a transaction. The tool checks live mempool data.
Your agent returns suggested fees, detailing the optimal balance between cost and speed based on various confidence tiers.
Who is this actually for?
This MCP is for anyone dealing with Ethereum transactions where cost and speed matter. It helps the DeFi trader who needs to time a swap perfectly, and the developer who can't afford to send test contracts that fail due to gas estimation errors.
Integrates fee calculation into their deployment scripts, making sure smart contracts don't fail because they overpay or underpay for gas.
Monitors gas spikes to time liquidity provisions and swaps at the moment when transaction costs are lowest relative to market opportunity.
Manages batch transactions by getting a reliable cost estimate for large, multi-step operations before submission.
What Changes When You Connect
Stop guessing your gas fees. The get_gas_prices tool provides real-time suggestions, letting you calculate exactly what a contract deployment will cost before you commit.
Optimize the balance between speed and money. By comparing different confidence tiers (like 99% vs. 70%), you control whether you pay for instant inclusion or save some gas.
Avoid failed transactions due to network spikes. The MCP monitors live mempool data, giving early warnings about congestion or sudden price increases.
Perfect your DeFi timing. You can check the current cost structure and wait for a dip in fees, allowing you to maximize your trade profit margins.
Streamline development cycles. Integrating gas estimation into your workflow means less time debugging failed transactions and more time building features.
See it in action
Deploying a new smart contract
A developer needs to deploy a complex new token standard. Instead of spending hundreds of dollars on test gas, they ask their agent to run get_gas_prices. The result shows the optimal fee structure, letting them budget precisely and deploying successfully the first time.
Executing an urgent arbitrage trade
A trader spots a temporary price discrepancy between two DEXes. They need to execute the swap immediately but don't want to overpay for gas due to unexpected network traffic. Running get_gas_prices helps them time the transaction perfectly, minimizing fees and maximizing profit.
Running a batch of liquidations
An operations team needs to liquidate 50 positions across different protocols. They use the MCP to check gas prices once. This single data point informs all 50 transactions, ensuring they don't accidentally get stuck or pay excessive fees.
The honest tradeoffs
Manually checking fee sites
Opening three different gas tracking websites and comparing the base, priority, and suggested max fees to decide what to use.
Just ask your agent to run get_gas_prices. It aggregates all that data into one reliable estimate, saving you time and cross-site confusion.
Assuming stable gas prices
Writing a deployment script that assumes the gas fee will be X Gwei, only to have it fail minutes later because of unexpected network congestion.
Always run get_gas_prices immediately before deploying. It gives you the most current data needed for reliable execution.
Overpaying out of fear
Sending a transaction with maximum, 'just in case' gas fees to ensure quick inclusion, only to find that a much lower fee would have been sufficient and saved you tokens.
Use the confidence tiers provided by get_gas_prices. Select the lowest tier (like 70%) that still meets your required speed.
When It Fits, When It Doesn't
You should use this MCP if your core problem is determining reliable, real-time transaction costs on Ethereum. It's perfect for time-sensitive deployments, automated trading scripts, or any workflow where gas fees are a critical variable. Don't use it if you need historical price data (look into tools that handle archival records) or if you only care about the maximum possible fee—this tool helps you find the optimal fee. The primary function of this MCP is cost estimation, not execution; always pair it with an execution layer.
Questions you might have
How can I get the most accurate gas price for an urgent Ethereum transaction? +
Use the get_gas_prices tool. It fetches high-confidence suggestions directly from Blocknative's mempool monitoring, providing you with the exact values needed for rapid inclusion.
What confidence levels does the gas price tool provide? +
The get_gas_prices tool returns estimations for various confidence intervals (typically 99%, 95%, 90%, 80%, and 70%), allowing you to choose the right balance between cost and certainty.
Does this tool monitor the live Ethereum mempool? +
Yes. The get_gas_prices action leverages Blocknative's global node network to analyze pending transactions in the mempool, ensuring the suggestions reflect current network conditions.
How do I authenticate when calling the `get_gas_prices` tool? +
You must provide a valid Blocknative API Key upon connection. This key authorizes your AI client to access real-time mempool data and keeps your usage tracked.
What happens if `get_gas_prices` returns an error or fails? +
An error usually points to a credential problem or network issue. First, confirm your API key is correct in the Vinkius settings; then, try running the query again.
Is there a rate limit when I use `get_gas_prices`? +
Vinkius manages general usage, but specific call volume limits are set by Blocknative. Review your subscription tier documentation to understand any associated API quotas.
When running `get_gas_prices`, how do I interpret the difference between Max Fee and Priority Fee? +
The Max Fee is the absolute highest cost you're willing to pay. The Priority Fee, however, is the incentive payment that helps your transaction get included faster.
Can `get_gas_prices` provide historical data beyond real-time insights? +
No, this MCP focuses on live mempool conditions and current gas estimates. For deep dives into past market trends, use a dedicated block explorer or archival API.
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