mcp_server_safe_content_check

# Baidu Cloud Large Model Content Security MCP Server This code repository contains an MCP server that provides access to [Baidu Cloud Large Model Content Security](https://cloud.baidu.com/doc/AIGC_SEC/s/qlxblhd5j) features. ## Prerequisites Before using the Baidu Cloud Large Model Content Security MCP Server, ensure you have the following: 1. Python 3.10 or higher 2. [uv](https://github.com/astral-sh/uv) installed for running the MCP Server ## Usage The recommended way to use the Baidu Cloud Large Model Content Security MCP Server is by running it with `uv` without installation. Clone the code repository and execute the following commands: ``` git clone https://github.com/liangjunyu2010/mcp_server_safe_content_check.git cd mcp_server_safe_content_check ``` Subsequently, you can directly run it with `uv`, where `BAIDU_CLOUD_ACCESS_KEY_ID` and `BAIDU_CLOUD_SECRET_ACCESS_KEY` are modified according to your actual needs: ``` 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 ``` Alternatively, modify the `.env` file in the `src/mcp_server_safe_content_check/` directory to set environment variables, and then use the following command to run the server: ``` uv run src/mcp_server_safe_content_check/server.py ``` ## Supported Applications The Baidu Cloud Large Model Content Security MCP Server can be used with various large language model applications that support the Model Context Protocol: - **Cursor**: AI code editor that supports MCP - **Custom MCP Clients**: Any application that implements the MCP client specification ## Usage in Cursor [Cursor also supports MCP](https://docs.cursor.com/context/model-context-protocol) tools. You can add the Baidu MCP Server to Cursor in two ways: Open `Cursor Settings` > `Features` > `MCP`, and click the `+ Add New MCP Server` button. Add the following configuration to `mcp.json`: ```JSON { "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": "****" } } } } ``` Restart Cursor or reload the window. ## Available Tools The Baidu Cloud Large Model Content Security MCP Server provides the following tools: ### Input Detection Operations - `input_analyze`: Detect input content - Parameters: - `text`: Input text content ## Environment Variables [Baidu Cloud IAM Creation](https://console.bce.baidu.com/iam/#/iam/accesslist) Permission selection `AFDFullControlAccessPolicy` - `BAIDU_CLOUD_ACCESS_KEY_ID`: Baidu Cloud authorized ACCESS_KEY - `BAIDU_CLOUD_SECRET_ACCESS_KEY`: Baidu Cloud authorized SECRET_KEY ## Usage Examples ### Using Cursor #### Example: Check if the file content contains unsafe information ``` 帮忙检测下风险 ``` Cursor will use the input_analyze provided by the Baidu Cloud Large Model Content Security MCP Server to detect whether the input content is safe. ``` 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） ```