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Gaslens MCP

MCP Server

GasLens MCP是一款通过分析生产数据帮助开发者优化智能合约燃气使用的工具,适用于区块链智能合约开发场景。

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区块链开发Python金融数据

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

作者 / 组织

jaksm

提供方

jaksm

最后核验

2026/5/17 20:23

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

详细介绍

GasLens MCP - Production-Informed Contract Optimization

Learn from millions of deployed contracts to optimize your smart contract gas usage

![FastMCP](https://github.com/jlowin/fastmcp) ![License: MIT](https://opensource.org/licenses/MIT)

Overview

GasLens MCP is a Model Context Protocol server that helps developers optimize smart contract gas usage by learning from production data. Unlike traditional optimization tools that work in isolation, GasLens analyzes how similar contracts perform on mainnet, providing data-driven insights that go beyond theoretical analysis.

The Problem We're Solving

Smart contract developers currently optimize gas usage through trial and error, using only local testing tools. They have no easy way to learn from the thousands of similar contracts already deployed on mainnet. This leads to:

  • Repeatedly solving the same optimization problems
  • Missing proven optimization patterns used by successful contracts
  • No visibility into how contracts perform with real users at scale
  • Wasted time reinventing solutions that already exist

Why GasLens?

During smart contract development, developers constantly ask themselves:

  • "Is 150,000 gas normal for an NFT mint?"
  • "How do other projects handle this expensive operation?"
  • "What optimizations actually work in production?"

Currently, answering these questions requires manually searching through verified contracts, analyzing their code, checking their transaction history, and comparing gas usage - a process that takes hours or days. GasLens MCP automates this entire workflow in seconds.

Technology Stack

GasLens integrates three powerful technologies to create a production-informed optimization pipeline:

Hardhat (Core Foundation)

Why: The industry standard for smart contract development and testing - every Solidity developer already uses it.

How we use it:

  • Provides local gas profiling and testing
  • Generates baseline metrics for comparison
  • Offers transaction tracing for detailed analysis
  • Serves as the familiar interface developers already know

Blockscout MCP (Production Discovery)

Why: Indexes millions of verified contracts across multiple chains, providing production data that local testing can't access.

How we use it:

  • Discovers similar contracts based on bytecode patterns
  • Retrieves verified source code for analysis
  • Provides contract metadata and verification status
  • Enables learning from successful production contracts

Envio HyperSync (High-Speed Analysis)

Why: Traditional RPC calls are too slow to analyze thousands of contracts. Envio's HyperSync provides 2000x faster data retrieval.

How we use it:

  • Bulk analyzes gas usage across thousands of similar contracts
  • Retrieves historical transaction data in seconds instead of hours
  • Identifies gas usage patterns across different functions
  • Enables statistical analysis of optimization effectiveness

How It Works

The three technologies create a powerful optimization pipeline:

  1. Hardhat tests your contract locally and identifies expensive operations
  2. Blockscout MCP finds similar contracts in production that faced the same challenges
  3. Envio HyperSync rapidly analyzes how those contracts perform with real users
  4. GasLens combines these insights to provide actionable optimization recommendations

Each tool does what it does best:

  • Hardhat: Local testing and development
  • Blockscout: Contract discovery and source code access
  • Envio: High-speed bulk data analysis

Together, they enable something new: learning from the collective experience of all deployed contracts.

目录标签

目录标签

区块链开发Python金融数据智能合约优化本地部署燃气费用分析生产数据分析Solidity工具

接入字段

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0

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