Audioscrape MCP Server

Audioscrape is a Model Context Protocol (MCP) server that enables AI assistants to extract, analyze, and interact with audio content from various sources. By connecting to this server, your AI assistant gains the ability to work with audio files, transcriptions, and audio metadata seamlessly within your conversations.

What is Audioscrape?

Audioscrape bridges the gap between audio content and text-based AI interactions. Whether you're working with podcasts, music files, voice recordings, or any other audio format, this MCP server provides your AI assistant with the tools to understand and process audio information as naturally as it handles text.

Key Features

Audio Content Extraction

• Retrieve audio files from local storage and remote URLs
• Support for multiple audio formats including MP3, WAV, FLAC, and more
• Extract audio segments based on timestamps or duration

Metadata Access

• Read and analyze audio file metadata
• Access information such as title, artist, album, duration, and bitrate
• Retrieve embedded tags and technical specifications

Transcription Support

• Work with audio transcriptions to make content searchable
• Access spoken content in text form for analysis and summarization
• Bridge audio content with text-based AI capabilities

Use Cases

Audioscrape is ideal for content creators analyzing podcast episodes, researchers working with audio interviews, musicians managing audio libraries, journalists transcribing recordings, or anyone who needs to make audio content accessible to AI assistants. The server transforms audio from an opaque binary format into actionable data your AI can understand and work with effectively.