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'.

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.

A TypeScript server that connects Hevy fitness data with language models and provides tools for fitness history, training progress, and personal records through the MCP protocol.

The Actual Budget MCP Server is a tool for interacting with personal financial data through natural language, supporting access to accounts, transactions, and financial indicators via LLM assistants such as Claude.

This is a TypeScript-based MCP server project that connects MCP clients such as Cursor with YNAB (You Need A Budget) accounts, enabling direct access to and operation of personal financial data from the editor. The project provides various tools, including listing budgets, accounts, categories, and transactions, and supports reading and writing financial data through the YNAB API.

A CLI tool for retrieving personal data from sources such as Notion and Obsidian, storing it in Qdrant, and providing query services through the MCP server

The Oura MCP Server is a Model Context Protocol service for accessing Oura Ring data, supporting the acquisition of user health data, including multiple indicators such as sleep, activity, and stress, through personal access tokens or OAuth2 credentials.

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.

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

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.

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.

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.

A LinkedIn data crawler tool that supports various data extractions such as personal profiles, company information, and post searches. It provides three usage methods: Python library, command line, and MCP server, and has a built-in anti-detection mechanism.

The Oura Ring health data MCP server provides an access interface for health data such as sleep, activity, and heart rate through the Oura API v2, supporting personal configuration and real - time Webhook functions.

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.

This project is an MCP server based on the FastMCP framework, specifically designed to provide structured resume information of Frank Goortani. It supports accessing resume data through a standardized interface, including personal profiles, skills, work experiences, etc., and has a search function. The project uses a modular architecture, supports local and HTTP communication, and can be deployed to Cloudflare Workers.

A personality analysis application based on GitHub users' PR data, integrating LangChain and MCP services

This project is an integration tool between the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations. It supports functions such as training activity analysis, automatic token update, and API request rate limit.

An MCP protocol server based on standard input and output, providing access to Gravatar avatars and personal profile data, supporting information query through email or hash.

This is a Node.js-based MCP server for accessing LinkedIn data via the Proxycurl API, including personal profile, company information, and employee search functions.

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.

MCP Server is a multi-functional data exploration tool that can serve as a personal data science assistant, transforming complex datasets into clear and actionable insights. It supports loading CSV data through the Claude desktop application, executing Python scripts, and automatically generating data analysis reports and visual charts.

This project is an integration solution of the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations.

The Hand Marketing MCP server extracts multi-dimensional tags by analyzing user conversations, intelligently matches the industry product database, and provides highly personalized product recommendation services.

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.

The remote MCP service of Academiadepolitie.com, a platform for preparing for the entrance exams of the Romanian Police Academy, provides AI-driven personalized learning analytics, real-time data access, and secure authentication for over 50,000 students, covering 20 legal and policing disciplines.

The LunchMoney MCP server is a tool for programmatic access to personal financial management, providing comprehensive financial data interaction functions through the LunchMoney API, including transaction management, budget tracking, asset monitoring, etc.