CryptoAnalysisMCP is a cryptocurrency technical analysis tool built on Swift, providing real-time price data, technical indicators, chart pattern recognition, and trading signals. The latest version v1.1 supports over 7 million tokens through DexPaprika integration, allowing access to basic price data without an API key.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

A code explanation service based on Cloudflare Worker, providing comprehensive code explanation and visualization through pattern recognition and architecture analysis.

An intelligent code analysis and debugging server based on the Perplexity AI API, seamlessly integrated with the Claude desktop client, providing error analysis, pattern recognition and solution recommendations.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting functions such as log search, summary generation, and error pattern recognition.

The MCP interface connects Claude's thinking cycle system to achieve continuous background thinking processing between conversations, including pattern recognition, memory management, and cross - session learning functions.

An intelligent code analysis and debugging service based on the Perplexity AI API, seamlessly integrated with the Claude desktop client via the MCP protocol, providing functions such as error analysis, pattern recognition, and solutions.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.