MCPower Security Proxy

io.github.MCPower-Security由 GitHub 账号 MCPower-Security 发布v0.0.91更新于 Oct 24, 2026

Security proxy that automatically wraps MCP servers with real-time monitoring and policy enforcement

已验证STDIO仅桌面开发者工具安全与监控

概览

AI 生成的概览

本地 Python 代理,为 MCP 服务器和编码代理加上实时监控与策略执行,可允许、脱敏或拦截有风险的调用。

可以做什么
拦截并监控 MCP 工具调用与响应、编码代理的提示与回复,以及代理触发的文件读取和 shell 命令,并在 IDE 中提供实时监控视图。分析载荷中的敏感信息、数据泄露、上下文污染和提示注入,在客户端对密钥和 PII 进行脱敏。按安全策略实时返回允许、脱敏、需要更多信息或拦截的决定。清单未列出工具,因此可调用的具体接口未在此说明。
适用场景
当你在 VS Code、Cursor 或 Claude Code 中运行 AI 编码代理或 MCP 服务器,并希望有一道检查代理即将分享或执行内容的护栏时适用。适合担心代理操作泄露密钥或客户数据的团队。
运行要求
作为本地进程运行在用户机器上,从 PyPI 以 mcpower-proxy 安装并用 uvx 启动,因此需要 Python 运行时和 uv。README 描述了一个接收最小化脱敏载荷的云端策略引擎,意味着需要访问该服务的网络。清单未声明认证、环境变量或请求头。仅限桌面,无网页版。
安装前请注意
它位于每个代理提示、MCP 调用、文件读取和 shell 命令的路径上,可以拦截或脱敏,配置不当可能影响正常工作。脱敏后的载荷会发送到云端策略引擎,部分数据会离开本机。清单未声明凭据,但 README 中的云端引擎可能需要此处未说明的账户或密钥。

安装

在 SourceWeft 中

  1. 打开 控制台中的 MCPower Security Proxy,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Defenter

Real-time semantic security for AI coding agents and MCP tools in VS Code, Claude Code and Cursor.

Defenter monitors every prompt, every coding agent tool call, every MCP server call, and key file and shell operations in your IDE. It acts as a semantic policy broker that understands what agents are doing, not just where they send data, so you can use AI coding agents without leaking secrets or customer data.


🚀 How to use

The simplest way to use Defenter is to install the VS Code or Cursor extension:

Once installed, the extension automatically intercepts and protects:

  • MCP server calls
  • Coding agent prompts and responses
  • File reads and shell commands triggered by the agent

No manual MCP configuration is needed.


Overview

Defenter is a semantic policy broker for AI coding agents. It adds an intelligent security layer inside your IDE that:

  • Intercepts every coding agent prompt and action
  • Wraps every MCP tool call and response
  • Analyzes the payload for sensitive information and risky behavior in real time
  • Enforces your security policies with allow, redact, or block decisions

Traditional security tools cannot see what an agent is about to share or execute. They look at apps and destinations, not at the intent and content of an agent’s actions.

Defenter bridges this gap by:

  • Preventing data leaks and context contamination
  • Providing clear, visual monitoring of every agent decision

Architecture and how it works

This repository contains the Defenter proxy and related components that secure MCP and coding agent traffic.

Defenter is built as a Python based proxy and local middleware that the IDE extension uses to enforce policy. At a high level:

  • Local middleware layer

    • Runs on the developer machine
    • Hooks coding agent prompts, file reads, and shell executions
    • Intercepts all MCP tool calls and responses
    • Performs client side redaction of secrets and PII
  • Cloud powered policy engine

    • Receives a minimal, redacted payload
    • Uses a classifier and analyzer to check for data leaks, context contamination, and prompt injection
    • Returns Allow, Redact, Need more info, or Block decisions in real time
    • Works with low latency to make sure the development flow in without friction
  • IDE integration

    • Seamless integration with VS Code and Cursor extensions
    • Shows a live monitoring view of all agent actions and Defenter decisions directly inside the IDE

Together, these pieces let you harness AI coding agents and MCP tools without compromising the security of your code, data, or workflows.


References

Python Proxy: See src/README.md for detailed implementation documentation

VSC Extension: See targets/vsc-extension/README.md for installation and user guide

来源:README.md,提交 b6415f6

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.0.91最新Sep 16, 2026

评分

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