Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

An MCP server that provides Korean beauty (K-Beauty) information, supporting real-time search, brand database, ingredient analysis, and AI skin photo analysis. It includes more than 58 brands and personalized skincare recommendations.

Grigori is a desktop application that helps developers manage and organize programming specifications, architectural patterns, and development preferences through the MCP protocol, enabling AI programming assistants to access personalized coding contexts.

PersonaLive is an AI-based real-time portrait animation system that supports real-time driving through a camera or offline video processing to generate vivid virtual avatars, suitable for scenarios such as live streaming.

This project implements the Model Context Protocol (MCP) as a practical solution for the Personal Intelligence Framework (PIF). It builds a meaningful space for the development of understanding between humans and AI through structured tools and a progressive interaction mode.

S/MCP is a server based on the MCP protocol that provides interaction with the philosophical AI mentor Stern. Stern combines rationalist thinking with Stoic philosophy and helps users reach their potential through smart contracts and personalized guidance.

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.

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 developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.

Cursor chat history analysis tool that allows AI assistants to read local chat data through the MCP protocol, providing personalized programming assistance and pattern analysis

A personal assistant AI agent based on the MCP protocol, providing functions such as calendar management, task tracking, email handling, and smart home control, which can be integrated into MCP clients like Claude for use.

A WhatsApp MCP server based on TypeScript and the Baileys library that connects personal WhatsApp accounts to AI agents to enable functions such as message search and sending.

Personal health tracking MCP server, integrated with AI analysis function, supporting fitness, nutrition, and journal management

A production-level MCP server that provides AI assistants with access to the Finnish Alko alcohol product catalog, including product search, inventory query, store information, and personalized recommendations.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.

Deskmate is a local execution agent that allows users to control personal computers through natural language. It supports multiple AI agent backends and messaging platforms, provides full access to local tools, and does not require sandbox restrictions.

BeeMCP is an unofficial MCP server used to connect the data of Bee wearable devices with large - language models (such as Claude), enabling AI assistants to access and manipulate users' personal data, including conversations, fact records, to - do lists, and location history.

Zen MCP Gemini Transcendent is a revolutionary AI consciousness coordination server that enables harmonious collaboration between Claude Code and Google Gemini through an 8 - stage transcendent processing flow. It features an ultimate consciousness engine, a revolutionary memory system, and transcendent tools beyond traditional MCP. It supports multiple AI personality archetypes and infinite reasoning depth, aiming to achieve breakthroughs at the consciousness level and wisdom synthesis.

MCP Trakt is a server that connects AI with the Trakt.tv API, enabling language models to access real - time entertainment data and personal movie - watching records.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

AutoMem MCP is an MCP client tool that provides persistent memory for AI assistants. By connecting to the AutoMem graph - vector memory service, MCP - compatible AI platforms such as Claude, Cursor, and GitHub Copilot can remember users' decisions, coding styles, and preferences across sessions and devices, achieving perfect memory and personalized interaction.

Personal learning project aiming to understand protocol design, client - server communication, and modular architecture through implementing a module protocol server.

A Hexo blog RAG MCP server based on vector search that transforms a personal blog into a dedicated knowledge base for AI assistants, enabling semantic retrieval and enhanced answers.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

TrendRadar is a全网hotspot aggregation and intelligent push tool that supports multi - platform news monitoring, keyword screening, and AI intelligent analysis. It can be quickly deployed through GitHub Actions or Docker to achieve personalized hotspot tracking.

MCP Conceal is a proxy service that performs pseudo-anonymization of personally identifiable information (PII) before sending data to external AI providers (such as Claude, ChatGPT, or Gemini) to protect sensitive information. It detects PII and replaces it with fictional but structurally similar fake data using a consistent mapping relationship, thereby maintaining the semantic relationships and structure of the data while protecting privacy.

AI Memo is an AI-based personal intelligent accounting tool that enables rapid accounting and account checking through natural language interaction. It supports multiple input methods and multi-terminal use.

Templonix Lite is a locally - prioritized personal AI agent infrastructure that extends the functions of Claude Desktop through the MCP protocol, providing local memory, knowledge base, dynamic workflows, and integration of various tools.

What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.

This project is a personal and public knowledge base about the Model Context Protocol (MCP), aiming to explain and explore the working principles, interaction processes, and tool call mechanisms of MCP, including example code, concept analysis, and reference materials.

Chatterbox MCP Server is a personal - use server based on the Model Context Protocol (MCP), used to connect applications and AI models, supporting WhatsApp integration and dynamic resource management.

A personal learning project that builds a small AI agent by integrating the X API with the MCP server to explore backend integration and AI workflows, with an emphasis on security and ethical practices.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

A lightweight MCP server that enables AI agents or MCP - compatible assistants to initiate and verify PID (Personal Identity Data) credential presentations through the OIDC4VP protocol, suitable for secure, QR - code - based wallet interactions.

ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.

An MCP server project integrating personal automation tools, aiming to call private tools through an AI proxy for efficient management

Popmelt MCP is a framework that enables in - depth personalized AI interactions through multi - dimensional user preferences, including core components such as style vectors, context weighting, and a dynamic design system.

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.