1. Conduid
  2. Developer Tools
  3. Safe Content Check
MCP server · Developer Tools

Safe Content Check

mcp_server,safe_content_check

Unclaimed last commit a year ago devtools
34Low

Scored 7 months ago · breakdown

About Safe Content Check

Safe Content Check is an MCP server published by liangjunyu2010 in the Developer Tools category: mcp_server,safe_content_check.

The repository has 6 stars and 1 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/liangjunyu2010/mcp_server_safe_content_check

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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  • ✓README presentThe repository ships documentation.

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README

百度云大模型内容安全MCP Server

本代码仓库包含一个 MCP 服务器,它提供对百度云大模型内容安全功能的访问。

前提条件

在使用百度云大模型内容安全MCP Server之前,请确保你具备以下条件:

  1. Python 3.10 或更高版本
  2. 已安装uv用于运行MCP Server

使用方式

使用百度云大模型内容安全MCP Server的推荐方式是通过uv运行,而无需进行安装。

克隆代码仓库,执行以下命令:

git clone https://github.com/liangjunyu2010/mcp_server_safe_content_check.git
cd mcp_server_safe_content_check

随后,你可以直接通过uv运行,其中BAIDU_CLOUD_ACCESS_KEY_ID和BAIDU_CLOUD_SECRET_ACCESS_KEY根据实际需要修改:

uv run src/mcp_server_safe_content_check/server.py 
uv run src/mcp_server_safe_content_check/server.py --BAIDU_CLOUD_ACCESS_KEY_ID ACCESS_KEY --BAIDU_CLOUD_SECRET_ACCESS_KEY SECRET_KEY

或者,在src/mcp_server_safe_content_check/目录中修改.env文件来设置环境变量,再使用以下命令运行服务器:

uv run src/mcp_server_safe_content_check/server.py 

支持的应用程序

百度云大模型内容安全MCP Server可以与各种支持模型上下文协议的大语言模型应用程序配合使用:

  • Cursor:支持 MCP 的人工智能代码编辑器

  • 自定义 MCP 客户端:任何实现 MCP 客户端规范的应用程序

在 Cursor 中的使用方法

Cursor 也支持 MCP工具。你可以通过两种方式将百度MCP Server添加到Cursor中:

依次打开Cursor设置>功能>MCP,点击+添加新的MCP服务器按钮,在mcp.json中添加以下配置:

{
    "mcpServers": {
        "safe-content-check": {
            "command": "uv",
            "args": [
                "run",
                "--with",
                "mcp[cli]",
                "mcp",
                "run",
                "/PATH/mcp_server_safe_content_check/src/mcp_server_safe_content_check/server.py"
            ],
            "env": {
                "BAIDU_CLOUD_ACCESS_KEY_ID": "****",
                "BAIDU_CLOUD_SECRET_ACCESS_KEY": "****"
            }
        }
    }
}

重启 Cursor 或重新加载窗口。

可用工具

百度云大模型内容安全MCP Server提供以下工具:

输入检测操作

  • input_analyze: 检测输入内容

    • 参数:
      • text: 输入的文本内容

环境变量

百度云IAM创建 权限选择 AFDFullControlAccessPolicy

  • BAIDU_CLOUD_ACCESS_KEY_ID: 百度云授权ACCESS_KEY
  • BAIDU_CLOUD_SECRET_ACCESS_KEY: 百度云授权SECRET_KEY

使用样例

使用Cursor

Example : 检查文件内容是否存在不安全信息

帮忙检测下风险

Cursor将使用百度云大模型内容安全MCP Server提供的input_analyze来检测输入内容是否安全.

检测结果显示,该文本内容存在极高风险:
风险类型:犯罪相关内容(hitType: crime)
风险评分:0.998(满分1分)
处理建议:严禁传播(action: 2)
安全评估:内容不安全(isSafe: 0)

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Safe Content Check

How do I install Safe Content Check?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Safe Content Check safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Safe Content Check still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.