Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

MCpp Server is a high-performance Minecraft server written in C++. It aims to provide a fast and efficient gaming experience while maintaining compatibility with Java clients.

MCPet is an AI - based virtual pet simulation system that provides a digital pet - raising experience through the Model Context Protocol.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

The React Native MCP server is a platform that provides comprehensive development tools, aiming to optimize the React Native development experience. It includes functions such as project initialization, version management, automated upgrades, and Expo integration. It simplifies the development process through AI assistance.

An MCP server based on Claude AI for optimizing programming prompts and enhancing the usage experience in AI IDEs such as Cursor.

The LinkedIn data collection MCP server authenticates by manually entering the account password and uses Selenium browser automation technology to scrape the complete information of LinkedIn profiles, including work experience, education background, skills, and contact information.

Digimon Engine is an open - source multi - agent, multi - player game framework focusing on AI - native game and intelligent metaverse development. It supports social and financial AI agents, provides an immersive game experience, and is committed to building an AI agent environment similar to that in 'Westworld'.

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.

The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.

A personal data aggregation center based on the MCP protocol, allowing AI assistants to access personal data from multiple platforms and providing a personalized interaction experience.

An MCP server based on Deno and TypeScript that provides context information query functions for Terragrunt documentation and GitHub issues, aiming to improve the Terragrunt development experience and the accuracy of AI-assisted tools.

The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.

GitHub Copilot Memory Tool, designed for the new features of VS Code 2025. It allows Copilot to remember user preferences and work context through persistent memory, enhancing the personalized experience of the AI programming assistant.

The UI5 MCP Server is a tool based on the Model Context Protocol, designed for UI5 application development. It provides functions such as project creation, code analysis, API documentation query, and development guidance, aiming to enhance the experience of developers when using AI - assisted tools.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

Local-Wikipedia is an MCP server that makes Wikipedia offline through a one-time download. It supports full-text search and offline reading, is designed for small local LLMs, and provides a fast and low-memory search experience.

A Lemonade Stand game server based on the MCP protocol, enabling an AI interactive gaming experience through the Claude desktop client, including a weather system, business simulation, and other complete game mechanisms.

This is an 8th Wall MCP server project that allows users to build WebAR experiences in Claude Desktop through natural language instructions. It provides over 66 tools, supports scene building, 3D model management, animation addition, physical effects, asset search, and project file management, and can be integrated with 8th Wall Desktop and cloud APIs.

The MCP Dual Cycle Reasoner is a metacognitive enhancement tool designed for autonomous AI agents. Through a dual-cycle framework (sentinel monitoring and arbiter management), it enables anomaly detection and experience learning to enhance the self-awareness and reliability of agents.

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

Telegram MCP Server is a tool for remotely controlling AI programming assistants (Claude Code/Codex) via Telegram. It supports multi - session management, file operations, and smart polling for a truly unattended programming experience.

The SSW Clean Architecture Template is a project template based on clean architecture that combines SSW Rules and over 30 years of Microsoft software development experience, providing tools and best practices for quickly starting new projects.

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

Essential MCP is a revolutionary AI - human interaction protocol that enables a more powerful and intelligent collaborative experience through a context management system, tool collection, and testing framework. The project includes core components such as an SSH server, a Python API tool hub, and a unified context system. It is built with a modern technology stack and inspired by Elvis's innovative spirit.

Google Sheets MCP Server is a server-side application designed to simplify data management through the Google Sheets API, supporting read and write, real-time updates, and automated operations to enhance the Google Sheets usage experience.

The WhatsApp MCP Server is an enhanced messaging service platform that combines AI technology with the WhatsApp API, aiming to improve users' WhatsApp interaction experience.

ImgMCP is a multimedia AI model aggregation platform. Through a unified MCP protocol and API, it provides users with the ability to conveniently access and use a variety of AI models (such as image generation, understanding, and processing), aiming to connect AI capabilities with user creativity and improve the creative experience and efficiency.

Wisdom Forging is a powerful knowledge management system that efficiently stores and retrieves experience, insights, and best practices through the Qdrant vector database.

godoc-mcp-server is a tool for searching Go language packages and their documentation. It retrieves information from pkg.go.dev and serves as an MCP server for LLMs. It supports local cache, multi - platform distribution, and provides detailed parameter descriptions to optimize the LLM interaction experience.

An MCP server that seamlessly integrates the OpenAI GPT-5 API through Claude Code, providing text generation and structured conversation processing capabilities to optimize the development experience.

MCP Server Go is a Model Context Protocol (MCP) server implemented in Go, used to connect LLM applications with external data sources and tools, providing a simple and efficient development experience.

A persistent memory server based on knowledge graphs that supports remembering user information across sessions and accumulating experience through an error - learning system. It provides functions for entity - relationship management, observation record storage, and error - solution management, and can be integrated into the Cursor MCP client.

Develop an intelligent mall SSE service based on the MCP protocol, integrating product query, inventory management, and order processing functions, realizing real-time data interaction through the SSE protocol, and enhancing the shopping experience.

MCP Quantum Server is a project that integrates APIs, advanced AI, and intelligent automation to optimize the development experience through AI-driven smart notifications and automated workflows.

Gamemaster MCP is an AI-assisted Dungeons & Dragons (D&D) game management server built on FastMCP, providing complete campaign management, character control, NPC interaction, map building, and quest tracking functions, supporting multiplayer collaboration and single-player immersive gaming experiences.

Lenz shares learning and development experiences about MCP, mainly using Kotlin for backend development.