MusicGPT MCP Server
Related Servers
Alternatives to MusicGPT MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI music generation and management through the Suno API, supporting text prompts, custom lyrics, track status monitoring, and credit management.13-
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.3Do What The F*ck You Want To Public

MMAudio MCPofficial
AlicenseBqualityCmaintenanceEnables AI-powered video-to-audio and text-to-audio generation using MMAudio's API. Create synchronized audio from video content or generate audio from text descriptions with configurable parameters.36 npm4MIT- AlicenseBqualityDmaintenanceEnables advanced audio transcription, text-to-speech generation, and audio processing using OpenAI's Whisper and GPT-4o models with support for multiple audio formats, file management, and parallel processing.860MIT
- AlicenseNot gradedqualityDmaintenanceEnables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.2MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to programmatically edit, analyze, and export audio projects through MCP tools, including multi-track editing, effects, transcription, and semantic search.1-
TDQS
Scored across 24 tools
Most tools have distinct purposes, such as audio_to_midi for format conversion and generate_music for AI music creation. However, some overlap exists between denoise_audio, deecho_audio, and dereverb_audio, which all target audio cleanup and could be confused for similar noise reduction tasks, though their descriptions clarify specific focuses.
The naming follows a consistent snake_case pattern with clear verb_noun structures, such as convert_audio_format and extract_key_bpm. Minor deviations include get_all_voices and get_conversion_by_id using 'get' instead of a more specific verb, but overall the pattern is predictable and readable.
With 24 tools, the count is borderline high for a music processing server, as it may feel heavy and overwhelming for agents. While the tools cover diverse audio tasks, a more streamlined set of 15-20 tools could improve coherence without sacrificing functionality.
The tool set provides comprehensive coverage for music and audio processing, including creation (generate_music), editing (cut_audio, remix_audio), analysis (extract_key_bpm), conversion (audio_to_midi), and voice handling (text_to_speech, voice_changer). No obvious gaps are present, supporting a full workflow from input to output.