MCP_server
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The Speech Analysis MCP Server is designed to automatically analyze spoken English content using the Model Context Protocol (MCP) framework.
The Speech Analysis MCP Server is a sophisticated tool designed to facilitate the automatic analysis of spoken English content. Utilizing the Model Context Protocol (MCP) architecture, this server offers a comprehensive suite of features including speech-to-text conversion, grammar error analysis, vocabulary suggestions, logical feedback, and sentence comparison. The server is structured to handle various audio formats and provides a robust environment for both educational and professional applications. By leveraging advanced models like OpenAI's Whisper, it ensures high accuracy in transcription and analysis, making it an invaluable resource for language learners and educators alike.
Features
- Speech-to-Text: Utilizes OpenAI Whisper model for processing audio files.
- Grammar Check: Analyzes and identifies grammatical errors.
- Vocabulary Suggestions: Offers better word choices.
- Logical Feedback: Provides feedback on sentence structure and logic.
- Sentence Comparison: Highlights discrepancies with the original text.
