# Performance Optimization

The Vibe Coder MCP Server v4 is the final stable version, which introduces the Automatic Context Retrieval System (ACRS) and provides functions such as context memory, advanced caching, semantic search, and sequential thinking to enhance the capabilities of AI assistants.

An AI-driven code analysis and optimization tool integrated with MCP services, aiming to improve development efficiency and code quality, and providing functions such as security scanning, performance analysis, and automated testing.

A Confluence API service based on the MCP protocol, providing functions such as space management, page operations, and content search, supporting multiple authentication methods and performance optimization.

NPM Sentinel MCP is an AI-based NPM package analysis server that provides real-time security scanning, dependency analysis, performance evaluation, etc. It supports integration with Claude and Anthropic AI to optimize NPM ecosystem management.

The OpenRouter MCP Server provides seamless integration with the OpenRouter.ai model ecosystem, supporting access to multiple AI models and performance optimization.

A Vite plugin that provides MCP server functionality to help LLMs understand the React application context, supporting component highlighting, state retrieval, component tree display, and unnecessary re-render detection.

A learning path generation server based on FastAPI that can create structured learning plans for any topic, integrate online resources, and optimize content organization and performance through intelligent algorithms.