In-memory privacy shield to prevent context leaks in MCP tools

说明与用途

该项目为 MCP 工具提供内存级隐私防护，降低上下文泄露风险，并让 AI 助手能够通过标准协议连接真实工具与数据。实际采用时可先人工审查实现与许可证，在沙箱或内部工作流中试点，并核查依赖、文档、维护状态和发布节奏后再用于生产环境。

实际用途

In-memory privacy shield to prevent context leaks in MCP tools helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

限制与审查说明

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.