What are the prerequisites?
Python 3.10 or higher and the `uv` package manager must be installed.
@liangjunyu2010
Baidu Cloud LLM Security MCP Server focuses on addressing security issues such as compliance with generative content for third-party big models, internal security improvements for big models, and risk convergence for normalized big model operations
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": "****"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Mcp_server_safe_content_check is an MCP server that provides access to Baidu Cloud's large model content safety features. It enables large language model applications to detect whether input text contains unsafe content.
Clone the repository, then run the server via uv with your Baidu Cloud credentials as command-line arguments or set in a .env file. The server offers the input_analyze tool for content detection.
input_analyze tool for detecting input text safety.uv package manager.Python 3.10 or higher and the `uv` package manager must be installed.
Create an access key in the Baidu Cloud IAM console and assign the `AFDFullControlAccessPolicy` permission.
It provides the `input_analyze` tool, which accepts a `text` parameter containing the input content to analyze.
The data is sent to Baidu Cloud's large model content safety API for processing.
Cursor and any application implementing the MCP client specification.
MCP Toolbox for Databases is an open source MCP server for databases.

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