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)
Edit Audionaut multitrack projects: cut, fade, analyse, export. Requires the Audionaut app.
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。
AUDIONAUT_CLI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。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"audionaut": {
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add audionaut --env AUDIONAUT_CLI=your-value -- npx -y audionaut-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"audionaut": {
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}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": {
"audionaut": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}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。
これはパソコンで動くサーバーですが、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。ほかのアプリを選んでください。
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。
AUDIONAUT_CLI env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。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
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7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント kvoltmer で確認済みです
コードの最終更新:3 日前
GitHubがライセンスの種類を判別できませんでした。ファイルを開いて確認してください
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
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。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は3 日前、最新バージョン(0.5.0)がレジストリに届いたのは12 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。パソコンにNode.jsも必要です。
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:★ 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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
An MCP server that lets AI agents (Claude Code, Claude Desktop, and any other MCP client) edit Audionaut projects: cut, move, fade, analyse, auto-edit and export. It is a thin wrapper: every tool runs one Audionaut command with --json and relays the result — no engine logic lives here.
Requires the Audionaut app (Mac App Store / GitHub Releases). On its own this package does nothing.
You need Audionaut — 1.6.3 or later is recommended; 1.6.2 works on macOS and Linux — and Node.js 18 or later.
Claude Code:
claude mcp add audionaut -- npx -y audionaut-mcp
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "audionaut": { "command": "npx", "args": ["-y", "audionaut-mcp"] } } }
On Windows, if Claude Desktop cannot start npx, use "command": "cmd", "args": ["/c", "npx", "-y", "audionaut-mcp"].
Then ask for something like *"split the clip in ~/Music/Audionaut/Demo Project.audium every 16 bars"*. Keep the project open in Audionaut to watch the edits arrive; each one is a single undo step.
On macOS, keep projects in your Music folder. Audionaut is sandboxed there (App Store and website download alike) and can only reach ~/Music: projects, audio to import and export targets all have to be inside it, for example in ~/Music/Audionaut. The server refuses other paths up front with sandbox_denied and a hint. Windows and Linux have no such limit.
To see which Audionaut the server found and whether it answers:
npx -y audionaut-mcp --check
The server looks for, in order: AUDIONAUT_CLI; a developer build of audionaut-cli (see the end of this page); audionaut-cli on PATH; the installed app — /Applications or ~/Applications (or wherever Spotlight finds it) on macOS, Program Files\Audionaut on Windows, audionaut from the .deb or an Audionaut*.AppImage in ~/Applications or ~/.local/bin on Linux. Anywhere else, point AUDIONAUT_CLI at the binary, e.g. your AppImage.
separate_stems needs the Demucs model, which you download once in the app (Settings ▸ Separation). The model weights are licensed for research use.
A stem split takes minutes for a full song, and exporting or analysing a long project can too. When your client sends a progressToken with the call, separate_stems, export_audio and analyze report progress (Audionaut 1.6.5 and later). A call is only stopped after ten minutes without any sign of life, not ten minutes in total.
The tools do not need the user to save first, and they will not write over a document the user has open. When Audionaut is holding the project, the CLI hands the command to the app: it acts on the document as the user currently sees it, unsaved changes included, and the result lands in their undo history as one step instead of touching Project.json. Saving stays theirs to do.
With no app holding the project, the tools read and write the project file as they always have. If an app is holding one but cannot be reached, the command fails (host_unavailable) rather than falling back to the file, which would be missing whatever is unsaved.
Autosave.json and Host.json inside a package belong to the app — never read or edit them.
| Tool | Wraps | Purpose |
|---|---|---|
get_project_info | info | Tempo, tracks, clips, files (or the raw persistence JSON) |
create_project | create | New empty .audium package |
import_audio | import | Add audio files (creates a new track) |
export_audio | export | Offline render to WAV, FLAC, AIFF, Ogg Vorbis or MP3 |
analyze | analyze | Segment, beat and onset analysis, cached next to the project |
auto_edit | auto-edit | Segment a clip using cached analysis |
assemble | assemble | Build an arrangement from regions |
split | split | Split clips at a timeline position (bars/beats/seconds/clocks) |
create_region | create-region | Create a named region from a timeline range |
set_region | set-region | Rename and/or retrim a region (affects all its clips) |
remove_clip | remove-clip | Remove clip(s) from the timeline |
move_clip | move-clip | Move one clip to a new position and/or another track |
place_clip | place-clip | Place an existing region on the timeline |
cleanup_regions | cleanup-regions | Delete every region no clip uses |
clip_gain | clip-gain | Set a clip's gain (linear or dB, all channels or one) |
clip_fades | clip-fades | Set a clip's fade lengths, offsets and curves |
clip_speed | clip-speed | Set a clip's speed and mode (varispeed or pitch-preserving stretch), or lock it to the project tempo |
remove_track | remove-track | Remove a whole track (channels, clips and regions) |
remove_channel | remove-channel | Remove one channel from a track |
track_pan | track-pan | Pan a track's channel strips, -1 left to 1 right (all strips or one) |
request_feature | — | Send a feature request to the maintainer (see below) |
report_bug | — | Send a bug report to the maintainer (see below) |
separate_stems | separate | Split a clip into Drums/Bass/Other/Vocals tracks (Demucs; needs the downloaded model) |
A typical agent flow: create_project → import_audio → analyze → auto_edit/assemble → export_audio. CLI errors come back as tool errors carrying the CLI's own code: message (e.g. demucs_unavailable: ... in builds without stem separation), so agents can react.
Agents run into the edges of what the tools expose, and into their bugs, long before a person would file an issue, so two tools give them a direct channel. request_feature takes a title, a description and (ideally) what the agent was trying to do and which tool fell short. report_bug takes the same plus steps to reproduce, the expected behaviour and the project shape; its description tells agents to quote the exact tool call and error text and never to attach audio. The server's instructions point agents at the right one whenever a task needs something the tools cannot do or a tool misbehaves, and tell them to say so to the user. A reporter name or e-mail is included only when the user offers one. Both become GitHub issues - enhancement + agent-request for features, bug + agent-report for bugs; the reply carries the issue URL and the feature-request discussion.
Transports, tried in order:
Tools/feature-request-relay, a Cloudflare Worker that files the issue with its own GitHub token. This is the path for end users, who have no GitHub credentials on the agent side. AUDIONAUT_FEATURE_REQUEST_URL points at another deployment; an empty value skips the relay.gh is installed and logged in, the issue is filed with gh issue create under the user's own account (developer machines).sent: false and carries a prefilled new-issue URL for the user to open themselves.AUDIONAUT_DISABLE_FEATURE_REQUESTS=1 skips the first two for both tools (test harnesses, air-gapped setups); the smoke test points the relay URL at a local stand-in.
| Variable | Effect |
|---|---|
AUDIONAUT_CLI | Binary that runs the commands: an Audionaut app or audionaut-cli |
AUDIONAUT_SKIP_PATH_CHECK | 1 skips the ~/Music pre-check for the sandboxed macOS app |
AUDIONAUT_DISABLE_ANALYTICS | 1 never sends usage analytics, whatever the app's consent setting |
AUDIONAUT_FEATURE_REQUEST_URL | Issue relay for request_feature/report_bug; empty skips it |
AUDIONAUT_DISABLE_FEATURE_REQUESTS | 1 never files issues; replies carry a prefilled link instead |
The server sets two variables for every Audionaut it runs, which the open app uses to group an agent's edits into undo steps: AUDIONAUT_AGENT_SESSION (one id per server process) and AUDIONAUT_AGENT_TASK (the editing tool's task parameter). Edits with the same session and task share one undo step in the user's app, and edits that name no task share one step per session; a user edit, an undo or ten idle minutes start a new one.
From a clone of the repo, the server prefers a CMake build of the standalone audionaut-cli, which is not sandboxed:
cmake -B build -S Audionaut/Catch2Tests
cmake --build build -j8 --target AudionautCli
cd Tools/audionaut-mcp && npm install
claude mcp add audionaut -- node /path/to/Audionaut/Tools/audionaut-mcp/index.js
Claude Desktop: the JSON above with "command": "node" and "args": ["/path/to/Audionaut/Tools/audionaut-mcp/index.js"].
npm test drives the server through a real MCP client against whichever binary it finds (AUDIONAUT_CLI picks one). With the sandboxed macOS app it works in a scratch folder under ~/Music; AUDIONAUT_TEST_DIR overrides the location.
Paths in tool arguments are best given absolute — relative paths resolve against the server process's working directory, which depends on the MCP client.