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)
Score video as an agent: cue sheet from the cut, 50+ AI instruments play your MIDI, mixed to picture
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.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.doseedo.com/mcp/film터미널에서 이 명령어를 실행하세요
claude mcp add --transport http film-score https://api.doseedo.com/mcp/film프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"film-score": {
"url": "https://api.doseedo.com/mcp/film"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"film-score": {
"type": "http",
"url": "https://api.doseedo.com/mcp/film"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.doseedo.com/mcp/film메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
doseedo_generate_soundSOUND EFFECTS (SFX) from words with Stable Audio Open — SOUND DESIGN and FOLEY for game audio, apps and video: impacts, whooshes, door slams, footsteps, UI blips, creature and sci-fi sounds, ambiences ("rain on a tin roof", "busy café"), risers, drum one-shots. A one-shot hit ("p
doseedo_render_midiMIDI to audio, a virtual instrument: plays a part you wrote. An AI instrument model (orchestral strings, brass, woodwinds, piano, guitar, bass, drums, World) performs your exact notes, in your key, at your bpm, and returns audio takes. Input ONE of: notes[] ({pitch, start_beats,
doseedo_train_instrumentMake a CUSTOM INSTRUMENT in your own sound: upload 30 s–3 min of ONE instrument playing (your own player, a rare or folk instrument, a prepared/invented instrument, a vintage synth) and doseedo trains a private adapter (LoRA) on its serving instrument model in about 1–2 minutes.
doseedo_render_scorePlays a whole arrangement you wrote in one call — film scoring, orchestral arrangement, background music, a song or instrumental (a film cue, a string quartet, a big-band chart): each part played by its doseedo instrument, one stem per part from bar 1 at your tempo, plus a summed
doseedo_mixMIXING and MASTERING: each part levelled, panned, high-passed, given its depth on a shared reverb, and mastered to a loudness target — a WAV AND `mixgraph`, the mix as a document you edit. After doseedo_render_score pass from_job (its parts and the instruments they play are the s
doseedo_session_from_stemsBuild a native DAW PROJECT from stems: each stem on its own audio track from bar 1, optional MIDI tracks (the written parts) beside them, on your tempo (bpm or tempo_map) — Logic Pro (.logicx) or Ableton Live (.als), zipped. The deliverable after doseedo_render_score (pass from_j
doseedo_spot_videoSPOT A FILM: a video in, the music editor's cue sheet out — the first step of scoring to picture. Scene detection on EVERY frame, and it listens to the soundtrack (CPU, no credits): hard cuts frame-exact (dark, low-contrast footage included), fades, flashes and visual impacts; ea
doseedo_score_to_pictureSCORE TO PICTURE: the last step of scoring a film. Lays each mixed cue (and any sound effect) on the video at its SMPTE timecode, with dialogue ducking (the lines found on the video's own soundtrack by VAD, or the spans you pass; the music dips ahead of each line and comes back a
doseedo_separate_stemsSTEM SEPARATION and VOCAL REMOVER: split an uploaded mix into stems (vocals, drums, bass, guitar, piano, other — or orchestral/auto-detected instruments) to isolate vocals (the vocals stem is the acapella; the other stems are the karaoke backing), with optional per-stem MIDI tran
doseedo_split_soundtrackSPLIT A FILM'S SOUNDTRACK (dialogue / music / effects — "DME" — separation): the film's own audio into three stems that sum back to it, plus a report of what it holds: whether there is music already, where it plays (spans in seconds) and how much of the film it covers, where the
doseedo_transcribeAUDIO TO MIDI transcription: a melody, a bass line or a part as notes (pitch, onset/offset seconds, velocity, confidence as JSON — not a MIDI file; for .mid files per stem use doseedo_separate_stems with transcription or doseedo_audio_to_session). Works from an uploaded audio_key
doseedo_analyze_songKey detection, BPM/tempo detection, song structure and chords — musical analysis of a recording in one call: key (e.g. "D minor"), bpm + per-beat tempo_map, meter / beats_per_bar, downbeats (seconds), sections (intro/verse/chorus… with times), chords (a progression on the beat gr
doseedo_check_takeMEASURE a take instead of guessing: give the audio (a render_midi take URL, any recording) and the notes it should play — notes[] + bpm (and tempo_map) or a midi_url — and get back how many written notes were heard at the right pitch and time (recall / precision / f1, octave erro
doseedo_analyze_midiCheck the HARMONY of notes before rendering or placing them: factor a MIDI progression into its sonorities (mode "midi", default — chord-detection-free: each segment of simultaneously sounding pitches reduced to an anchor pitch class + register-exact shape, covered with recurring
doseedo_instrumentsThe instrument list — the sound palette: every instrument doseedo can PLAY YOUR NOTES on (doseedo_render_midi) — orchestral strings, brass and winds, guitars, basses, keys, drums and percussion, and World instruments (koto, sitar, banjo, pedal steel, tabla, congas…). Each entry g
doseedo_tempo_mapScoring to picture: turn HIT POINTS (a cut, an impact, the title card — as seconds from the cue start or SMPTE timecodes) into a TEMPO MAP that lands each hit exactly on a downbeat (or a beat / an eighth — per hit with hits[].land), staying near your tempo and inside bpm_range. A
doseedo_get_upload_urlGet a presigned upload for your own audio file — or a SCORE (.mid / .midi / .musicxml / .xml / .mxl / .mscz / .mscx → a score_key for doseedo_render_score: send a big score as a file, not as notes in the call). Returns an upload_url (PUT the raw file bytes there, e.g. `curl -X PU
doseedo_check_taskCheck an async doseedo task once. Returns current status, and the result (file URLs / notes) when finished. A big result comes back as a brief (each row cut to its deciding fields): parts: [" " or index, …] returns those rows of the job record IN FULL — a render_score part's ever
doseedo_wait_taskWait for an async doseedo job to finish: polls server-side for up to timeout_seconds (5–50; one call can never hold longer than 50 s), then returns the result or the latest status. If it returns still_running:true, call it again — a submit reply's eta_seconds says how long the wh
doseedo_list_jobsList the jobs this account submitted (generate / render_midi / cover / stems / transcribe / session / convert / bounce / the analyses), newest first — to find an earlier result, check what is still running, or resume after a lost connection. Each row names its artifacts (e.g. ["v
doseedo_cancel_jobCancel a queued or running job. What that stops and refunds depends on the kind — generate_music / render_midi / cover_song: a render not yet on the GPU is stopped and its credits refunded; one already rendering finishes (credits spent), the job ends as canceled, output discarded
doseedo_accountCheck the connected doseedo account: plan tier, the monthly credit pool (generation AND DAW conversions draw it), purchased extra-usage credits, and storage. Read-only — consumes nothing. Use it before starting expensive work to confirm there is budget.
doseedo_quoteEstimate what a job will cost in credits BEFORE submitting it, and whether the connected account can afford it right now. Spends nothing. Pass the job (generate_music, generate_sound, cover_stem, fill_gap, render_midi, train_instrument, cover_song, separate_stems, split_soundtrac
doseedo_recipesThe named pipelines people actually ask for — stems, session (mix → DAW project), cover, transcribe, generate, render-midi (your notes played by an instrument model), custom-instrument (train your own from a recording), timbre-transfer (your notes, a recording's tone), sound-desi
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리에 소스 저장소가 없어서, 게시자(doseedo.com)와 코드를 맞춰 볼 수 없어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
166ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 24개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.21.0)은 10일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ 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.
저장소에서 README를 찾지 못했어요