Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.
Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.
Enables LLMs to analyze music (genre, mood, tempo, key), separate audio stems, detect AI-generated music, and measure loudness using IRCAM Amplify's audio processing APIs.
Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.
