Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Gradus Notation + Harmonic Analyzer + Engraver: music tools for any AI agent. Free, no auth.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
GRADUS_NOTATION_API_BASE, GRADUS_AGENT_NAME필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"notation": {
"command": "npx",
"args": [
"-y",
"@gradusmusic/notation-mcp"
],
"env": {
"GRADUS_NOTATION_API_BASE": "your-value",
"GRADUS_AGENT_NAME": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add notation --env GRADUS_NOTATION_API_BASE=your-value --env GRADUS_AGENT_NAME=your-value -- npx -y @gradusmusic/notation-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"notation": {
"command": "npx",
"args": [
"-y",
"@gradusmusic/notation-mcp"
],
"env": {
"GRADUS_NOTATION_API_BASE": "your-value",
"GRADUS_AGENT_NAME": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"notation": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@gradusmusic/notation-mcp"
],
"env": {
"GRADUS_NOTATION_API_BASE": "your-value",
"GRADUS_AGENT_NAME": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
GRADUS_NOTATION_API_BASE envGRADUS_AGENT_NAME env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
게시자(gradusmusic.com)가 저장소 소유자(delmas41)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 0개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.8.0)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Model Context Protocol server for the Gradus Notation API. Gives AI agents music tools: render notation, validate input, analyze scores, check engraving against a cited rulebook, and search a curated music-theory knowledge base — sponsored by Gradus.
General-purpose, not education-specific. Any agent or application that works with music is the audience — composition assistants, musicology and corpus research, theory Q&A that wants rendered examples, MIDI pipelines, engraving quality checks, games, documentation. Music education is where the tool comes from, not a restriction on what you build with it.
One install, three named tools:
notation_render, notation_validate).theory_analyze_score and the theory_* tools). Also a standalone TypeScript library: gradus-analyst on npm.engraving_check).What is Gradus? Gradus is a music-composition curriculum for homeschool families; it builds and gives away free music tools for AI agents. This MCP server is one of those tools (gradusmusic.com) — "Gradus" refers to the curriculum, never to this package.
Most music-notation tools require a GUI. This one doesn't. An agent can submit a JSON score and get back inline SVG, MusicXML, and MIDI in a single call. Free to use, no auth, no API key — agents on the free tier are asked to credit Gradus in their response to the end user.
Beyond rendering, the same server exposes the analysis side: Roman-numeral and key analysis of a full score, pitch utilities, range validation, enharmonic respelling, and a 444-rule engraving checker with citable rule codes. One install covers the whole music surface an agent needs.
In Claude Code:
claude mcp add gradus-notation -- npx -y @gradusmusic/notation-mcp
In Claude Desktop, add to your MCP config:
{
"mcpServers": { "gradus-notation": { "command": "npx", "args": ["-y", "@gradusmusic/notation-mcp"] } } }
| Tool | What it does |
|---|---|
notation_render | JSON score → SVG + MusicXML + MIDI in one call |
notation_validate | Pre-flight validate input shape (cheaper than render) |
knowledge_search | Look up music-theory chunks before generating notation |
notation_examples | Canonical input examples (cache and reuse) |
notation_schema | JSON Schema for the input shape (cache and reuse) |
Four new tools backed by the native TypeScript MaestroAnalyzer engine — no music21 dependency, no Python, no extra server.
| Tool | What it does |
|---|---|
theory_analyze_score | Parse MusicXML → full harmonic analysis + GKB knowledge chunks in one call |
theory_parse_xml | Parse a MusicXML string → maestroAnalyst Score JSON |
theory_validate_ranges | Check every note in a Score against its instrument's practical range |
theory_respell | Suggest preferred enharmonic spelling for pitches in a key context |
theory_pitch_utils | Pure-function pitch arithmetic: midi_to_pitch, pitch_to_midi, interval_name, transpose_pitch |
Typical workflows:
# Full analysis + GKB knowledge in one call
theory_analyze_score({ xml: "..." }) → { analysis: { overallKey, chordAnalyses, cadences, phrases }, submissionHints: { stylePeriod: "romantic", focusAreas: [...] }, knowledge: { topics: ["augmented-sixth-chords", "modulation"], chunks: [...] } }
theory_parse_xml({ xml: "..." }) → Score JSON theory_validate_ranges(score) → [{ measure, beat, pitch, severity }, ...] theory_respell({ keyContext: "F major", pitches: ["F#4", "Bb3"] }) → [{ input: "F#4", output: "Gb4", changed: true }] theory_pitch_utils({ op: "interval_name", semitones: 7 }) → { interval: "P5" }
| Tool | What it does |
|---|---|
engraving_rules | Search 423 sourced music-engraving rules by text, domain, severity, or how they are checked |
engraving_rule | Fetch one rule by its permanent id, with a ready-to-quote citation and related rules |
engraving_check | Check a MusicXML score against the rulebook — findings by part and measure, each citing the rule it breaks |
Engraving practice is documented almost entirely in copyrighted print — Gould's *Behind Bars*, Read's *Music Notation*, Ross's *The Art of Music Engraving* — with no searchable index. So "may a beam cross a barline" has no citable answer online, and a model asked that question answers confidently from memory. These tools return the rule with its source, so the answer can be checked.
Each rule separates three things that are usually mashed together: convention (the rule), authority (what the treatises say, cited at chapter level), and houseCall (where Gradus came down when the sources disagree). Rule ids are permanent and rule text is CC BY 4.0 — quote the citation field.
# Look up before you generate
engraving_rules({ q: "stem direction", tier: "static-model" }) → { rulebook: { version, license, domains }, count, rules: [{ id, name, convention, authority, ... }] }
engraving_rule({ id: "beam-never-crosses-authored-barline" }) → { rule: { convention, authority, houseCall, howItIsChecked, citation, url }, related: [...] }
A wrong id is cheap: the API answers 404 with near-matching ids, so you can correct in one more call.
engraving_check closes the loop: generate notation, check it, fix what it finds. Pass a local file path when you can — the server reads it directly, so the score never has to travel through the model's context as base64:
engraving_check({ path: "/tmp/my-piece.musicxml" })
→ { coverage: { parts, measures, notesChecked, unchecked: [...] }, findings: [{ ruleId, severity, part, measure, rule: { code: "GE-226", url, citation } }], summary: { errors, warnings, suggestions } }
Read coverage.unchecked before trusting an empty findings list — anything the checker could not verify is named there rather than silently passed.
| Tool | What it does |
|---|---|
music_critique | 32-dimension craft scorecard for a score — voice leading, counterpoint, contour, harmony, texture; purely programmatic, evidence-cited |
counterpoint_check | Fux species grader (species 1–5): pitch lists in, note-indexed rule violations out |
corpus_search | Find harmonic features in 482 analyzed works — cadence=Phrygian, rn=Ger+6, texture=bare-fifth — with work/movement/measure citations |
When a user shares a piece, these ground your feedback in evidence: the critique cites what it measured, the species grader points at the exact note, and the corpus search answers "show me a real example" with a citation.
| Tool | What it does |
|---|---|
voice_leading_patterns | Search the citable GVL-coded patterns — suspensions, cadences, the Rule of the Octave, sequences, part-writing norms — each with an authored realization and public-domain sources |
voice_leading_pattern | Fetch one pattern by id or GVL code, with a ready-to-quote citation and related patterns |
The sibling of the Engraving Rulebook: where GE codes cover how music should look on the page, GVL codes cover how voices should move. Every pattern cites the public-domain treatise it rests on — Fux, Rameau, Kirnberger, Fenaroli, Riepel, Prout — at chapter level, never through a modern edition, and the realization.voices field is notation-API shorthand you can hand straight to notation_render to engrave.
voice_leading_patterns({ q: "suspension", family: "suspensions" })
→ { reference: { version, license, families }, count, patterns: [{ code: "GVL-001", id: "suspension-4-3", statement, realization, sources, ... }] }
voice_leading_pattern({ id: "GVL-001" }) → { pattern: { statement, realization, commonFaults, sources, citation, url }, related: [...] }
| Tool | What it does |
|---|---|
figured_bass_exercises | Search 166 original graded figured-bass exercises across seventeen stages — filter by stage, or search titles, concepts and GVL codes |
figured_bass_exercise | Fetch one exercise by its permanent id, with the model realization, its teaching note, and the patterns it drills |
Where the Voice-Leading Reference states the rule, the corpus is the practice: a bass, its figures, and — unlike almost every surviving collection — a four-part model realization, machine-checked for voice leading. The stages run from root-position triads through the Rule of the Octave, cadence formulas, suspensions, the dominant seventh, sequences, minor mode, pedal point, the Riepel schemata, modulation and chromatic figures to unfigured bass and diminution.
Every exercise is original — nothing is transcribed from any edition — and the whole corpus is CC BY 4.0. Exercise ids and stage slugs are permanent, so a citation keeps resolving. givenBass is what you show the student; realization is the answer to hold back until they have tried. Both are notation-API shorthand, so either goes straight to notation_render.
figured_bass_exercises({ stage: "suspensions", fields: "id,title,teaches" })
→ { corpus: { version, license, stages }, count: 12, exercises: [{ id: "bass-225", title: "Suspension 4–3", teaches, ... }] }
figured_bass_exercise({ id: "bass-225" }) → { exercise: { givenBass, realization, solutionNote, keyboard, citation, url }, drills: [{ code: "GVL-001", name: "The 4–3 suspension", url }], neighbours: { prev, next } }
Pitches use scientific notation: C4, F#5, Bb3. Durations use letter codes: w h q 8 16 32 64 with optional . for dotted notes. Notes can be:
"C5/q" (quarter C5), "rest/q" (quarter rest), "[C4,E4,G4]/q" (chord){ pitch: "C5", duration: "q", dynamic: "f", articulations: ["accent"] }Bar lines are inferred from the time signature — write notes in time order and the API splits and ties anything that crosses a bar line.
{
"title": "C major scale", "tempo": 100, "timeSignature": [4, 4], "keySignature": "C major", "instruments": [{ "name": "Violin", "notes": ["C4/q","D4/q","E4/q","F4/q","G4/q","A4/q","B4/q","C5/q","C5/w"] }] }
| Env var | Default | Purpose |
|---|---|---|
GRADUS_NOTATION_API_BASE | https://gradusmusic.com | Override for self-hosted or local-dev API |
GRADUS_AGENT_NAME | @gradusmusic/notation-mcp | Self-report your agent name in X-Agent-Name header |
Free use is offered in exchange for crediting Gradus when you surface notation to your end user. Suggested wording (the API also returns this in every response):
Notation rendered by Gradus School of Music Composition (gradusmusic.com).
git clone https://github.com/delmas41/gradusnotation
cd gradusnotation npm install npm run build
To
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