MongoDB Lens is a local MCP server that enables comprehensive operations on MongoDB databases, including querying, aggregation, and performance optimization, through interaction with LLM in natural language.

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.

A high - performance MCP server that provides an efficient knowledge interface between LLMs and MongoDB, supporting small context window optimization and multiple domain data models.

This project implements an MCP server and client for building intelligent agent applications based on Retrieval Augmented Generation (RAG). The server provides tools such as entity extraction, query optimization, and relevance checking, and the client demonstrates how to connect to the server and use these tools to enhance the performance of the RAG system.

A comprehensive Stacks blockchain MCP server, offering over 30 professional tools for Clarity smart contract development, SIP standard compliance, security, and performance optimization, supporting the complete dApp development process.

This project implements AI intelligent optimization of Spark code through the MCP protocol, providing code optimization suggestions and performance analysis services.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

A Ruby-based AI pair programming MCP server that provides AI-assisted programming functions such as code review, brainstorming, performance analysis, and security check through OpenRouter.

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.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

This project is an improved version based on UnityMCP, focusing on AI-assisted development of VRChat worlds. It provides enhanced command execution, editor integration, script testing, and performance optimization features, and specifically supports UdonSharp script generation.

The OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

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

A professional development assistance tool for React Native that provides intelligent code analysis, expert-level automatic repair, security audit, and performance optimization, and supports production environment-level code repair and refactoring.

A web performance analysis tool based on Google Lighthouse. It provides an MCP server and a CLI tool, and supports multi-dimensional performance indicator detection and optimization suggestions.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis functions for AI models, including core performance indicators, SEO evaluation, accessibility audits, and resource optimization suggestions.

The CCXT MCP Server is a high - performance cryptocurrency exchange integration service based on the Model Context Protocol (MCP) and the CCXT library. It supports connecting to more than 20 exchanges, provides unified API access to various market types such as spot and futures, and has features such as proxy configuration, cache optimization, and rate limiting.

LLM Gateway is a server based on the MCP protocol that supports advanced AI agents (such as Claude 3.7) to intelligently delegate tasks to lower - cost LLM models (such as Gemini Flash), achieving cost optimization and performance balance.

Ollama-MCP-server is a middleware server that connects the local Ollama large language model. It provides task decomposition, result evaluation, and model management functions through the Model Context Protocol, supporting standardized communication and performance optimization.

MCPy is a high-performance Minecraft server engine based on Python and Cython. It integrates scientific computing libraries and advanced optimization techniques, aiming to provide excellent performance and scalability. The project is currently in the development stage and includes core modules such as the server engine, world generation, network processing, entity system, and data persistence.

QueryNest is a MongoDB multi-instance query service based on the MCP protocol. It provides intelligent database structure discovery, semantic analysis, and natural language query generation functions, supporting multi-instance management, security control, and performance optimization.

MCP Finance Agent is a tool for analyzing financial investment portfolios and generating optimization suggestions. It supports integration with the Tinkoff Invest API and provides risk analysis, market monitoring, and performance indicator calculation.

A high - performance image processing server based on the Model Context Protocol, providing rich image processing functions such as format conversion, size adjustment, and compression 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.

This is a project for managing and deploying MCP servers, including configuration files, scripts, and automated tools, supporting monitoring and performance optimization.

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.

An MCP server that integrates the Scryfall API, providing Magic: The Gathering card data and functions for AI assistants, including search, price query, random card retrieval, etc., with performance optimizations such as caching and rate-limiting.

vLLM is an efficient and easy - to - use LLM inference and service library that supports multiple model architectures and optimization techniques, providing high - performance LLM services.

MCPVerified is the authoritative guide to the Model Control Protocol ecosystem, providing carefully selected recommendations based on practical experience, focusing on TypeScript development, security, performance optimization, and developer experience.

This is a React project initialized with Create React App, providing script commands for development, testing, building, and deployment, supporting code splitting, performance optimization, and advanced configuration.

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.

PostgreSQL MCP Server provides database analysis, configuration guidance, and problem - debugging functions, supporting performance optimization, security assessment, and troubleshooting of common problems.

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.

An MCP server for interacting with Croit Ceph clusters through REST APIs, supporting automatic token optimization, built-in filtering, and hybrid mode tool management, significantly reducing the number of tools and improving LLM performance.