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Why this server?
This server uses OpenAI's Text-to-Speech API to convert text to spoken audio, which could be used to playback the transcription.
Why this server?
This server provides a memory system, which can be used to store context for meeting notes, and allows access across different LLMs.
Why this server?
This server downloads and extracts audio from videos, then transcribes it to text using OpenAI's Whisper model which is the core ask.
Why this server?
This server scrapes blog posts, extracts content, and provides AI-powered summaries, which could be used to summarize meeting notes.
Why this server?
This server allows you to store and retrieve memories, which can be used to store past conversation details.
Why this server?
While not directly related to audio, this allows interaction with twitter which can be useful for note taking and action items.
Why this server?
Like the above this can be used for note taking
Why this server?
Allows interacting with microsoft 365, may be helpful for storing notes.
Why this server?
Can create, read, edit, and format Microsoft Word documents
Why this server?
This provides a read/write note storage system with a custom URI scheme, allowing users to add and summarize notes