Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Edit Audionaut multitrack projects: cut, fade, analyse, export. Requires the Audionaut app.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
AUDIONAUT_CLINecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"audionaut": {
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add audionaut --env AUDIONAUT_CLI=your-value -- npx -y audionaut-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"audionaut": {
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"audionaut": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"audionaut-mcp"
],
"env": {
"AUDIONAUT_CLI": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
AUDIONAUT_CLI envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub kvoltmer, dueña del repo
Último cambio de código: hace 3 días
GitHub no pudo identificar el tipo de licencia; abre el archivo para comprobarlo
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 2 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez hace 3 días, y la última versión (0.5.0) llegó al registro hace 12 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.