Suno MCP Server
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- FlicenseBqualityBmaintenanceEnables AI music production planning by generating song specifications and project plans, converting them for Ableton, generating audio via Google Lyria, and managing memory, review, and orchestration workflows.12-
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TDQS
Scored across 6 tools
Each tool targets a distinct stage: DNA extraction, style field composition, keyword suggestion, intent scoring, pattern matching, and session prep. There is mild overlap in the text-analysis family (map_music_dna vs analyze_intent vs suggest_keywords), but the descriptions clarify the boundaries well enough for correct selection.
All six tools use a consistent snake_case verb_noun pattern (prepare_music_session, map_music_dna, build_style_field, suggest_keywords, analyze_intent, match_top_patterns). Naming is predictable and readable throughout with no mixed conventions.
Six tools is a reasonable, well-scoped set for a music-prompt preparation pipeline. It is slightly lean — no persistence or session-retrieval tool — but nothing feels padded or redundant.
The surface covers a coherent pipeline from raw intent through DNA extraction, style-field construction, and validated session prep. Minor gaps exist (no save/persist or re-open a prepared session, no actual generation step), but these may be intentionally out of scope.