隐私防护技术在MCP工具中的应用：Rohan Protocol发布开源服务器实现

Rohan Protocol推出了一个开源的Model Context Protocol（MCP）服务器实现，旨在通过技术手段防止大语言模型工具调用过程中的上下文泄露和凭证盗取。1该项目采用内存隔离、确定性内存清零等多层防护机制，目前已进入公开测试阶段。1

该实现的核心功能包括客户端RAM见证隔离、语义策略防火墙和确定性内存清零技术。1用户可通过本地stdio模式部署或直接使用npx运行，并可通过修改claude_desktop_config.json配置文件将其与Claude Desktop等LLM客户端集成。1项目当前版本为v0.6.0 Public Beta，支持从GitHub克隆部署。1

Rohan Protocol的技术栈包含MCP服务器、核心引擎、React/Next.js浏览器钩子以及Midnight Compact智能合约等多个组件。1该项目同时发布了相关研究论文《Rohan: A Stateless Zero-Knowledge Trust Gateway for Privacy-Preserving Agentic Workflows via Streamable HTTP》，为其隐私保护机制提供理论支撑。1

Rohan Protocol has released an open-source Model Context Protocol (MCP) server implementation designed to prevent context leaks and credential theft during large language model tool execution 1. The project, currently in public beta at version 0.6.0, employs in-memory isolation, V-02 deterministic memory zeroing, and semantic policy firewall technologies to protect sensitive information 1.

The implementation can be deployed locally via stdio mode or directly executed through npx, and integrates with LLM clients such as Claude Desktop through the claude_desktop_config.json configuration file 1. The technical stack encompasses an MCP server, core engine, React and Next.js browser hooks, and Midnight Compact smart contracts 1. The underlying research has been formalized in the paper "Rohan: A Stateless Zero-Knowledge Trust Gateway for Privacy-Preserving Agentic Workflows via Streamable HTTP," with DOI 10.5281/zenodo.22730240 1.