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Songcraft & Suno MCP Server (@frankxai/suno-mcp-server)

The Sovereign AI Music Prompt Workbench, Lyric Architecture & Music DNA Engine for MCP

Design structured Music DNA, craft rights-safe song lyrics, audit AI clichés with an objective Slop Index (0–100), structure song timelines, and compile high-density Suno v4/v5/v5.5 and Udio style briefs.

MCP TypeScript License SIP


What this is

Suno / Songcraft MCP Server is a prompt strategy, lyric architecture, and music ideation layer for AI-assisted music creation.

It helps an agent move from:

“I want a nostalgic night-drive song that feels cinematic but still moves.”

to:

  1. structured Music DNA (emotion, genre, textures, energy arc, vocal persona)

  2. clearer creative constraints and seed patterns

  3. a focused Suno Style field (<120 or custom length)

  4. structured, human-grade lyrics with section markers ([Verse], [Chorus], [Drop]) and vocal delivery cues

  5. an objective Anti-Slop audit scanning 60+ generic AI tropes with grounded rewrites

  6. validated provider-neutral session packets (Suno supervised, Lyria clip/full, Eleven Music, fal MiniMax Music 3)

The server is intentionally text-first and provider-independent. It prepares high-quality creative briefs and packets; it does not claim to be an official Suno API or directly generate audio in Suno.

Related MCP server: playlist-agent

Why it exists

Unofficial scraping and browser-cookie audio generation APIs for Suno are fragile, violate terms of service, and get blocked by Cloudflare.

Meanwhile, AI music tools are easy to prompt but difficult to direct consistently. A short prompt leaves critical decisions undefined:

  • What is the emotional center and vibe DNA?

  • Which instruments and textures lead?

  • How should energy develop across the arrangement?

  • Are the lyrics relying on predictable AI clichés ("echoes in the dark", "neon lights", "broken chains")?

  • What vocal persona fits the idea?

This server gives any MCP client (Claude Code, Cursor, Hermes, Antigravity, OpenCode) a shared vocabulary and deterministic workflow for answering those questions before generation.

Capabilities

Capability

Status

Intent → structured Music DNA

Available (map_music_dna)

Music DNA → Suno-compatible Style field

Available (build_style_field)

Keyword and vibe suggestions

Available (suggest_keywords)

Intent clarity analysis

Available (analyze_intent)

Prompt and pattern matching

Available (match_top_patterns)

Provider session packet preparation

Available (prepare_music_session)

Structured lyric generation

Available (craft_lyrics)

Anti-Slop lyric audit & rewrites

Available (de_slop_lyrics)

Song dynamic structure & timeline

Available (structure_song)

High-density prompt compiler

Available (compile_suno_prompt)

Export unified Songcraft DNA packet

Available (export_song_dna)

Direct Suno audio generation

Not included (by design)

Important: This is a community project and is not affiliated with, endorsed by, or sponsored by Suno. Suno generation remains an external user-controlled workflow.


Quickstart

Claude Code / Cursor / Windsurf / Antigravity MCP Configuration

Add to your claude.json or .mcp.json:

{
  "mcpServers": {
    "songcraft": {
      "command": "node",
      "args": ["/absolute/path/to/suno-mcp-server/dist/index.js"]
    }
  }
}

Or run the zero-dependency standalone runner directly:

{
  "mcpServers": {
    "songcraft": {
      "command": "node",
      "args": ["/absolute/path/to/suno-mcp-server/bin/songcraft.mjs"]
    }
  }
}

(Note: Both binary aliases suno-mcp-server and songcraft-mcp are provided).


MCP Tools

Music DNA & Prompt Strategy Tools

Tool

Purpose

map_music_dna

Convert free-text intent into structured emotion, genre, mood, textures, energy arc, vocal persona, production, and exclusions.

build_style_field

Compose a concise, generation-ready Suno Style field from Music DNA and optional dynamics instructions.

suggest_keywords

Suggest high-signal vocabulary for a vibe, genre, and mood.

analyze_intent

Score how complete an idea is across the Music DNA dimensions and identify what is missing.

match_top_patterns

Find related producer patterns and seed-library examples.

prepare_music_session

Validate an approved style/lyric session and compile provider packets (Suno, Lyria, Eleven Music, fal MiniMax).

Songcraft & Lyric Architecture Tools

Tool

Parameters

Description

craft_lyrics

theme, genre, structure, vocal_tags, anti_slop

Generates structured lyrics with sections and vocal delivery cues.

de_slop_lyrics

lyrics

Audits lyrics against 60+ AI clichés, computes Slop Score (0-100), and suggests human-grade rewrites.

structure_song

genre, tempo_bpm, target_duration_seconds

Maps song timeline, energy curve (1-10), and arrangement layers.

compile_suno_prompt

genre, mood, tempo_bpm, instrumentation, vocal_style

Compiles compact style prompt (<120 chars), negative prompt, and Studio 2.0 plan.

export_song_dna

title, theme, genre, lyrics, bpm, key

Exports a unified Markdown/YAML Songcraft Packet with SIP v1.1.1 attestation.


Resources

URI

Description

library://prompts

Seed prompt library index.

library://prompts/{id}

Individual prompt-library entry.

musicdna://vocab

Music DNA keyword taxonomy.

musicdna://vibe-maps

Vibe-to-DNA mappings.

musicdna://top-patterns

Producer and prompt pattern cards.

MCP Prompts

Prompt

Purpose

intent_to_dna

Guide an agent through clarifying a vague musical idea.

emotion_image_to_style

Turn an image or visual description into Music DNA and a Style field.


Practical Example: De-Slopping Lyrics

// Tool Call: de_slop_lyrics
{
  "lyrics": "I hear the echoes in the dark\nWalking beneath the neon lights\nBroken chains around my heart\nSearching for the light in endless nights"
}

Response:

Slop Index Score: 75/100 (HIGH SLOP)
Detected Clichés: 4 found

  • Line 2: "echoes in the dark" → [Atmospheric: echoes in the dark]

  • Line 3: "neon lights" → [Atmospheric: neon lights]

  • Line 4: "broken chains" → [Melodrama: broken chains]

  • Line 5: "searching for the light" → [Filler: searching for the light]

Grounded Human-Grade Rewrite:
I hear footsteps on the gravel drive
Walking beneath halogen diner signage
Unlocked deadbolts around my heart
Squinting through the windshield fog in endless nights


Provider-neutral session preparation (0.3+)

prepare_music_session validates an approved style/lyric session and compiles Suno supervised, Lyria clip/full, Eleven Music or fal MiniMax Music 3 packets. It preserves lyrics, enforces provider duration/instrumental constraints, bounds candidate count and estimates the render cost. It makes no network request and cannot authorize credits, submit jobs, download audio, listen or publish. Its owner field is a planning label; an executor must authenticate the owner and reserve a host-approved budget.

Craft fundamentals and provider guidance are maintained in the public frankxai/agentic-music-producer-os docs. The packet compiler is canonical here in src/engine/session-compiler.cjs; an operated factory can vendor this pure compiler with a source revision/hash and parity tests. It contains no private canon or credentials.

Modular MCP runtime (0.4+)

The server uses the official @modelcontextprotocol/server package and Zod4. Its runtime dependency graph contains the server and shared protocol implementation; the modular client is a development dependency. The legacy SDK is installed only in the isolated compatibility consumer, not in the project or published runtime. No HTTP gateway or authorization service is started.

The stdio entry uses serveStdio, which accepts legacy initialize clients and clients pinned to protocol 2026-07-28. Tool names, Music DNA, prompt resources and prepared-only provider packets retain their existing contracts.

Development

pnpm install
pnpm typecheck
pnpm test
pnpm build

Standards & Attestation

Built on the Starlight Intelligence Protocol (SIP) v1.1.1 and aligned with FrankX Music IS doctrine.

MIT License. Copyright © 2026 Frank Riemer / FrankX.

Available Tools

6 tools
analyze_intentC

Score clarity of user intent vs Music DNA dimensions and seed library; return missing dimensions and suggestions.

Inputs: intent_text (required).

build_style_fieldC

Compose a full Suno Custom Style field from Music DNA (+ optional journey overrides). Quality target: seed library Neon Horizons / Liminal Tides.

Inputs: dna (required), journey, max_chars, include_bpm_key, +1 more.

map_music_dnaC

Extract structured Music DNA from free text (optional image_url as text hint only — no media download). Returns emotion, genre, textures, energy arc, vocal persona, exclude styles, confidence.

Inputs: text (required), bpm_hint, image_url, genre_hint, +1 more.

match_top_patternsC

Find similar high-rated pattern cards and library entries for a free-text query.

Inputs: query (required), limit.

prepare_music_sessionB

Prepare a validated provider-neutral music packet; no API calls, credit authorization or audio verdict.

Inputs: owner (required), style (required), engine (required), lyrics (required), +7 more.

suggest_keywordsC

Suggest vibe/DNA keywords for a vibe string, optional genre, and mood list.

Inputs: vibe (required), mood, genre, limit.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 6 tools

    Disambiguation4/5

    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.

    Naming Consistency5/5

    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.

    Tool Count4/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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