emotion-analysis

emotion-analysis

3.2

If you are the rightful owner of emotion-analysis and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Emotion Analysis MCP Server is designed to detect and analyze emotions within a block of text, providing insights into the emotional tone of any paragraph.

The Emotion Analysis MCP Server allows users to identify the emotional context within a given text. Whether you're analyzing customer feedback, social media content, or any other form of textual data, this server can provide valuable insights into the emotions expressed.

Features

  • Emotion Detection: Analyze a paragraph of text to identify the presence of six key emotions: disgust, sadness, anger, joy, surprise, and fear.
  • High Performance: The server is designed to handle up to 6 requests per second under normal conditions and can scale up to 300 requests per second during high traffic periods.
  • Security and Privacy: We prioritize your privacy and security. No content is stored on our servers; only transaction logs are maintained. We recommend using the POST method to further ensure data security.

Tools

  1. Analyze

    Detect the emotions of a paragraph of text using a secure POST request method.

  2. Analyze

    Detect the emotions of a paragraph of text using a GET request method.