Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

A gravitational wave signal detection and optimization system based on the MCP protocol, focusing on the analysis of the GW150914 event and achieving efficient signal detection through AI intelligent exploration of the parameter space.

An SEO automation tool integrated with Google Ads keyword planning, providing keyword research, SERP analysis, competitor analysis, and AI optimization suggestions.

LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

AI Humanize MCP Server is a powerful model context protocol server that focuses on optimizing AI-generated content into more natural and humanized text.

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

The Obsidian Semantic MCP Server is an AI - optimized knowledge management tool that integrates more than 20 functions through 5 semantic operations, providing intelligent workflow suggestions and context - aware editing functions. The project has been upgraded to a native Obsidian plugin, providing better performance.

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.

Google Ads MCP is a tool that connects Google Ads with Claude AI. It analyzes advertising data through natural language conversations and provides functions such as account management, campaign analysis, keyword optimization, and budget management.

An MCP server that provides intelligent text summarization functions for AI agents, optimizing context window management and improving AI work efficiency

A distributed memory bank MCP implementation based on the KùzuDB graph database, supporting repository and branch isolation, and providing AI-driven memory optimization, secure snapshots, and intelligent analysis functions

MCP-Allure is an MCP server that converts Allure test reports into an LLM-friendly format, aiming to optimize the analysis and processing of test reports by AI.

The MCP Thought Server is a service that provides advanced thinking tools for AI agents, enhancing reasoning, planning, and iterative optimization capabilities through the Model Context Protocol (MCP). It includes tools such as structured thinking, iterative drafting, and integrated thinking, supports SQLite persistence and an advanced confidence scoring system, and can configure environment variables to meet different needs.

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure

A Claude multi - instance collaborative reasoning server based on the quantum field computing model, achieving enhanced AI reasoning capabilities through field consistency optimization.

A supply chain AI optimization system based on a custom FastMCP implementation, processing real-time events through parallel invocation of multiple tools, providing inventory management, demand forecasting, and intelligent decision-making suggestions

A web screenshot tool optimized for AI vision workflows. Automatically segments the entire web page into 1072x1072 pixel tiles to ensure the best processing effect. Supports MCP integration and screen recording functions

The QuantConnect MCP Server is a localized model context protocol server designed for quantitative trading, providing complete integration with the QuantConnect platform, including research environment, statistical analysis, portfolio optimization, etc. It supports quantitative strategy development through natural - language interaction with an AI assistant.

The MCP Tailwind Gemini Server is an advanced Tailwind CSS server integrated with Gemini AI, providing intelligent component generation, design optimization, and cross-platform support, suitable for various development environments and frameworks.

The ElfProxy MCP server is a privacy-first infrastructure solution that combines dynamic IP rotation with AI-optimized network interaction, providing a global proxy IP pool and intelligent web content processing capabilities.

An MCP server that provides context optimization tools for AI programming assistants, saving context space and improving assistant efficiency by accurately extracting information instead of processing a large amount of terminal output and files.

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 AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization, helping users improve text quality.

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.

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure, and optimizing the context window management of AI agents.

The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.

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

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.

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.

This project is a Model Context Protocol (MCP) server designed for Spinnaker, enabling standardized interaction between AI models and the Spinnaker deployment system, supporting intelligent decision - making, automated operation and maintenance, and continuous optimization of the CI/CD process.

The Claude-LaTeX MCP integration project connects Claude AI with LaTeX editors through Anthropic's Model Context Protocol (MCP), providing AI - assisted functions for academic writing, science fiction creation, and philosophical writing, including core tools such as formula generation, document structure optimization, and reference management, as well as professional extension modules for different types of content.

An MCP server based on the Amazon Bedrock Nova Canvas model, providing high-quality AI image generation services, supporting functions such as text description image generation, negative prompt optimization, size configuration, and seed control.

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization to help users improve text quality.

A web page screenshot tool optimized for AI vision workflows, automatically splitting into 1072x1072 pixels to meet the processing requirements of the Claude Vision API

JetsonMCP is an MCP server that manages NVIDIA Jetson Nano edge computing devices through SSH connections, providing AI workload optimization, hardware configuration, and system management functions, and supporting the conversion of natural language instructions into professional operation commands.

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.

DataPilot MCP Server is a Snowflake database interaction service based on FastMCP 2.0 and OpenAI integration, providing AI functions such as natural language to SQL conversion, query optimization, and data insights, and supporting core database operations and warehouse management.

This project is an interactive feedback MCP server, aiming to optimize the workflow of AI assistants, reduce unnecessary tool calls by requesting user feedback, improve efficiency, and save resources.

kivv is an automatic arXiv research paper discovery and AI intelligent summarization system, integrated with Claude Desktop via the MCP protocol, supporting multi - user, RSS subscription, and cost optimization, and built on Cloudflare Workers.