Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Score video as an agent: cue sheet from the cut, 50+ AI instruments play your MIDI, mixed to picture
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://api.doseedo.com/mcp/filmターミナルでこれを実行します
claude mcp add --transport http film-score https://api.doseedo.com/mcp/filmプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"film-score": {
"url": "https://api.doseedo.com/mcp/film"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"film-score": {
"type": "http",
"url": "https://api.doseedo.com/mcp/film"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://api.doseedo.com/mcp/filmメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
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
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリにソースのリポジトリが載っていないため、公開者(doseedo.com)とコードを照合できません
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
166ミリ秒で応答(HTTP 200)
サインイン不要
24件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち2項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(0.21.0)がレジストリに届いたのは10 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
リポジトリにREADMEが見つかりません