Mix-MCP is an innovative platform that bridges the gap between Web3 and LLMs by leveraging the Model Context Protocol.
概览
🌐 Mix-MCP is an innovative platform that bridges the gap between the Web3 World and Large Language Model (LLMs) by leveraging the Model Context Protocol (MCP), which was introduced by Anthropic in 🗓️ December 2024. Our project aims to provide an open platform for any Web3 technology, application, or tool to interact with large language models. 🤖 Any AI+Web3 project can easily interact with large models using our tools! 🔍 Taking the ETH trading scenario as an example, you can engage in conversation with the AI assistant to have it fetch real-time 📊 candlestick data and expert analysis, analyze market indicators, generate market assessment reports, predict ETH trends, construct trading strategies, integrate real-time market assessments into trading strategies, and intelligently initiate or terminate trades📈📉.
README
以下为原文 README 节选,完整内容请查看原文。
Mix-MCP
2025 ETH Beijing Hackathon (AI x Crypto Track) Runner-up 🥈
🌐 Mix-MCP is an innovative platform that bridges the gap between the Web3 World and Large Language Model (LLMs) by leveraging the Model Context Protocol (MCP), which was introduced by Anthropic in 🗓️ December 2024. Our project aims to provide an open platform for any Web3 technology, application, or tool to interact with large language models. 🤖 Any AI+Web3 project can easily interact with large models using our tools!
🔍 Taking the ETH trading scenario as an example, you can engage in conversation with the AI assistant to have it fetch real-time 📊 candlestick data and expert analysis, analyze market indicators, generate market assessment reports, predict ETH trends, construct trading strategies, integrate real-time market assessments into trading strategies, and intelligently initiate or terminate trades📈📉.
Highlights
- 🔄 MCP Aggregation: This involves integrating current MCP services for blockchain, such as retrieving on-chain data, and organizing them into a unified, encapsulated interface. This feature aims to simplify data access for developers and traders, reducing the fragmentation seen in multi-chain ecosystems.
- 📈 Market Information Analysis: Based on MCP services, the project will conduct market analysis, with a focus on transaction-related market trends, to provide actionable insights for trading decisions. This leverages AI to process real-time data, potentially offering competitive advantages in volatile markets.
- 🚀 Trading Strategy Implementation: The project includes built-in trading strategies that use the latest MCP data and AI analysis to recommend, optimize, and deploy strategies with one click. This feature targets both novice and professional traders, lowering technical barriers and enhancing automation.
Advantages
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"fetch": {
"command": "path/to/executable",
"args": [
"--config",
"path/to/config.json"
]
}
}
}