mcp_server_safe_content_check

mcp_server_safe_content_check

3.3
securitycloud_platforms

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This repository contains an MCP server that provides access to Baidu Cloud's large model content safety features.

The Baidu Cloud Large Model Content Safety MCP Server is designed to facilitate the integration of content safety checks into applications using the Model Context Protocol (MCP). It leverages Baidu's advanced AI models to analyze and ensure the safety of content by detecting potentially harmful or inappropriate material. The server is built to run with Python 3.10 or higher and utilizes the 'uv' tool for execution. Users can clone the repository and run the server without installation, making it a convenient solution for developers looking to incorporate content safety features into their applications. The server supports various applications that implement the MCP client specification, including AI code editors like Cursor.

Features

  • Content Safety Analysis: Provides tools to analyze and ensure the safety of content using Baidu's AI models.
  • Easy Integration: Can be integrated with any application supporting the Model Context Protocol.
  • Environment Variable Configuration: Allows configuration through environment variables for secure access.
  • Support for Custom MCP Clients: Compatible with any application implementing the MCP client specification.
  • Cursor Integration: Easily integrates with the Cursor AI code editor for content safety checks.

Tools

  1. input_analyze

    Detect whether the entered text content is safe

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