mcp_server,safe_content_check
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-server-safe-content-check": {
"command": "<see-readme>",
"args": []
}
}
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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。
No automated test available for this server. Check the GitHub README for setup instructions.
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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。
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:
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
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
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。
百度云大模型内容安全MCP Server提供以下工具:
input_analyze: 检测输入内容
text: 输入的文本内容百度云IAM创建 权限选择 AFDFullControlAccessPolicy
BAIDU_CLOUD_ACCESS_KEY_ID: 百度云授权ACCESS_KEYBAIDU_CLOUD_SECRET_ACCESS_KEY: 百度云授权SECRET_KEY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)