This workflow enables automated moderation of images by detecting nudity using an n8n-based MCP server integrated with an external API. Designed for environments where user-generated images need to be screened for inappropriate content, it streamlines the moderation process by providing a trigger endpoint for AI agents, making it ideal for social platforms, forums, or content sharing websites.
The workflow begins with an MCP trigger node that acts as a webhook endpoint for incoming image analysis requests. When an image URL is received, the workflow automatically populates the necessary parameters using AI expressions. The core component is an HTTP Request node which communicates with the ‘ModerateContent’ API, sending the image URL to assess for nudity.
The process is straightforward: a request is made to the external API with the image URL, and the API responds with information indicating whether the image contains nudity or not. This setup allows for real-time moderation, ensuring that inappropriate images are flagged or filtered before they are displayed to users. It is particularly useful for developers looking to implement automated content moderation to uphold community standards.
Overall, this workflow helps automate image moderation tasks, saves time, and improves the safety of online platforms by leveraging AI-powered nudity detection.
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