Browser MCP is an MCP server + Chrome extension that enables browser automation through AI applications (such as VS Code, Claude, etc.). It features fast response, privacy protection, staying logged in, and avoiding detection.

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.

Claude local semantic code search tool that uses the EmbeddingGemma model to achieve fully offline intelligent multi - language code search. Integrates with Claude Code through the MCP protocol, protects privacy, and does not require an API key.

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.

An MCP server based on SearxNG, providing privacy-protected web search functionality for AI assistants

An MCP server based on SearxNG that provides privacy-protective web search functions for AI assistants, supporting multiple integration methods and transmission protocols.

A high-performance local RAG system based on Rust, integrated with Claude Desktop via the MCP protocol to achieve local processing, semantic search, and privacy protection of PDF documents.

DuckDuckGo Search MCP is a fast, privacy-friendly Model Context Protocol (MCP) server based on DuckDuckGo, providing web search and URL content extraction functions and being compatible with multiple AI providers.

SearXNG MCP is a model context protocol server based on the SearXNG privacy-protecting metasearch engine, providing web search functionality for AI assistants. It supports zero-configuration use of public instances or connection to private instances, with features such as customizable search parameters, multi-search engine support, and privacy-first.

An MCP server implementation integrated with SearXNG, providing privacy - protected meta - search functions, supporting multi - engine search, language filtering, time range filtering, etc.

The Screeny MCP Server is a privacy-first screenshot service designed specifically for macOS, allowing AI agents to securely capture screenshots of pre-approved application windows and providing a visual context for development and debugging tasks.

A privacy-friendly web search server based on MCP technology, using SearXNG to achieve multi-engine search functions, supporting multiple search categories and filtering options.

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.

The Apktool MCP Server is an Android APK analysis service based on the Model Context Protocol. It integrates the Apktool tool and Gemini CLI artificial intelligence, providing functions such as APK decompilation, security analysis, privacy auditing, and reverse engineering guidance.

This is an MCP server implementation project based on SearXNG, providing privacy - protected search capabilities for AI agents. The project is deployed through Docker containerization, supports two transport protocols, SSE and Stdio, and can be easily integrated into MCP - compatible clients.

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.

A privacy - friendly web search server based on the MCP protocol, providing multi - engine parallel search functions for web pages, social media, and archives, supporting cache management and security verification.

RagCode MCP is a privacy-first local AI code assistant that enables AI assistants to understand the entire codebase through semantic vector search and RAG technology. It supports multiple languages such as Go, PHP, and Python, without relying on the cloud.

An MCP server implementation integrated with SearXNG, providing privacy - protected meta - search functionality.

MCPOmni Connect is a powerful and universal command-line interface (CLI) that serves as the gateway to the Model Context Protocol (MCP) ecosystem. It integrates multiple MCP servers, AI models, and transport protocols, providing a unified and intelligent interface that supports multi-protocol connection, AI-driven interaction, security and privacy protection, memory management, and advanced prompt processing. etc. capabilities.

BetterMCPFileServer is a redesigned file system access protocol server that protects privacy through path aliases and provides an optimized LLM - friendly API. It simplifies the file operation interface from 11 functions to 6, while enhancing search capabilities and privacy protection.

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.

Mission Control MCP is a task automation and verification system designed specifically for Claude Code, providing autonomous task execution, result verification, and iterative optimization functions. It supports multiple verification strategies, has no external dependencies, and focuses on privacy and security.

Open Search MCP is a comprehensive model context protocol server that provides 33 professional search and research tools, covering multiple domains such as academia, development, and privacy search, with enterprise - level security features and standardized output.

Browser MCP is an MCP server + Chrome extension project that enables browser automation operations through AI applications (such as VS Code, Claude, etc.). Its features include local operation to ensure speed and privacy, using real browser fingerprints to bypass detection, and supporting existing login sessions.

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.

A privacy - protected MCP file server that optimizes LLM file access

This is an MCP server used to expose MIST.cash's privacy payment features on Starknet, allowing AI agents to interact with the privacy - protected payment protocol through standardized interfaces.

A self - hosted AI project based on Ollama, Open WebUI, and MCP, providing employee vacation management functions, including balance inquiry, application, and history viewing, supporting local deployment and privacy protection.

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.