OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.

An MCP server for accessing and searching browser history records (supporting mainstream browsers such as Chrome, Firefox, and Safari), supporting cross-platform use, and helping LLMs understand user interests and search behaviors

The MCP server of IPLocate.io provides comprehensive data query services for IP addresses, including geographical location, network information, privacy detection, and abuse contact information.

A privacy - first document search server that runs entirely locally, providing semantic search functions for AI programming tools through the MCP protocol. No API keys or cloud services are required, and all data processing is completed on the user's computer.

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.

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.

A localized AI-driven Slack search tool that enhances the functionality of Claude Desktop through the MCP protocol to enable private chat record retrieval

PrivAgents is a privacy-first framework that combines local and cloud agents to achieve secure data processing using homomorphic encryption technology, ensuring that data remains encrypted during transmission and processing. It is suitable for sensitive scenarios such as healthcare and finance.

The DPO2U MCP Platform is a hybrid AI compliance engine that combines local data processing with cloud - based legal knowledge, providing 17 tools to achieve 100% data localization processing and advanced compliance automation.

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.

An AI - based local diary MCP service that supports automatic reverse linking, smart tag extraction, and to - do item management. All data is processed locally to ensure privacy and security.