"ROS" matching MCP servers:

Turn any language model into a multimodal powerhouse that can generate images, music, videos and more on the fly. Rostro's tools are designed to be used by language models from the ground up, expanding capabilities with minimal context bloat.

A self-hostable MCP server for Roshan AI's Persian speech service, Harf, enabling transcription, forced alignment, real-time streaming, and speaker analysis through natural language.

Enables LLMs to compose music by describing musical intent using high-level operations like notes, chords, dynamics, and tempo, then renders the composition into standard MIDI files.

Enables Claude to analyze audio files locally, extracting musical features like key, tempo, dynamics, timbre, stereo field, and structural sections via an MCP server.

Enables high-performance, offline transcription of videos from 1000+ platforms and local files using whisper.cpp, with support for multiple model sizes, languages, and output formats over stdio or HTTP.