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MCP Server Safe Content Check

@liangjunyu2010

Repository

Basic information

Category

Other

Transports

stdio

Author

liangjunyu2010

Submitted by

jy li

About MCP Server Safe Content Check

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

#llm#ai#ai-security

MCP Server Safe Content Check config

Add this server to your MCP-compatible client using the configuration below.

{
  "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": "****"
      }
    }
  }
}

MCP Server Safe Content Check tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp_server_safe_content_check?

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.

How to use Mcp_server_safe_content_check?

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.

Key features of Mcp_server_safe_content_check

  • Provides the input_analyze tool for detecting input text safety.
  • Integrates with Cursor and any MCP-compatible client.
  • Requires Python 3.10 or higher and the uv package manager.
  • Uses Baidu Cloud IAM credentials for authentication.
  • Sends content to Baidu Cloud's safety API for analysis.

Use cases of Mcp_server_safe_content_check

  • Check file content for unsafe information directly from Cursor.
  • Integrate content safety checks into custom MCP-based AI applications.

Frequently asked questions

1

What are the prerequisites?

Python 3.10 or higher and the `uv` package manager must be installed.

2

How do I get Baidu Cloud credentials?

Create an access key in the Baidu Cloud IAM console and assign the `AFDFullControlAccessPolicy` permission.

3

What tools does this server provide?

It provides the `input_analyze` tool, which accepts a `text` parameter containing the input content to analyze.

4

Where is the content data processed?

The data is sent to Baidu Cloud's large model content safety API for processing.

5

Which applications are supported?

Cursor and any application implementing the MCP client specification.

Comments

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