Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Multi-provider media generation — images, video, audio, and transcription via a unified interface
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPENAI_API_KEY, XAI_API_KEY, GEMINI_API_KEY, ELEVENLABS_API_KEY, BFL_API_KEY, MEDIA_OUTPUT_DIRValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"multimodal": {
"command": "npx",
"args": [
"-y",
"@r16t/multimodal-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"ELEVENLABS_API_KEY": "your-value",
"BFL_API_KEY": "your-value",
"MEDIA_OUTPUT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add multimodal --env OPENAI_API_KEY=your-value --env XAI_API_KEY=your-value --env GEMINI_API_KEY=your-value --env ELEVENLABS_API_KEY=your-value --env BFL_API_KEY=your-value --env MEDIA_OUTPUT_DIR=your-value -- npx -y @r16t/multimodal-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"multimodal": {
"command": "npx",
"args": [
"-y",
"@r16t/multimodal-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"ELEVENLABS_API_KEY": "your-value",
"BFL_API_KEY": "your-value",
"MEDIA_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"multimodal": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@r16t/multimodal-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"ELEVENLABS_API_KEY": "your-value",
"BFL_API_KEY": "your-value",
"MEDIA_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
MEDIA_OUTPUT_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account rsmdt, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: OPENAI_API_KEY, XAI_API_KEY, GEMINI_API_KEY, ELEVENLABS_API_KEY, BFL_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.3.1) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Multi-provider media generation MCP server. Generate images, videos, audio, and transcriptions from text prompts using OpenAI, xAI, Gemini, ElevenLabs, and BFL (FLUX) through a single unified interface.
Set the API key for at least one provider. Most users only need one — add more to access additional providers.
# Using OpenAI
claude mcp add multimodal-mcp -e OPENAI_API_KEY=sk-... -- npx -y @r16t/multimodal-mcp@latest
Using a different editor? See setup instructions for Claude Desktop, Cursor, VS Code, Windsurf, and Cline.
| Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY | At least one provider key | OpenAI API key — enables image, video, audio generation, and transcription via gpt-image-1, sora-2, tts-1, and whisper-1 |
XAI_API_KEY | At least one provider key | xAI API key — enables image and video generation via grok-imagine-image and grok-imagine-video |
GEMINI_API_KEY | At least one provider key | Gemini API key — enables image, video, and audio generation via imagen-4, veo-3.1, and gemini-2.5-flash-preview-tts |
GOOGLE_API_KEY | — | Alias for GEMINI_API_KEY; either name is accepted |
ELEVENLABS_API_KEY | At least one provider key | ElevenLabs API key — enables audio generation (TTS, sound effects) and transcription via Flash v2.5 and Scribe v1 |
BFL_API_KEY | At least one provider key | BFL API key — enables image generation and editing via FLUX Pro 1.1 and FLUX Kontext |
MEDIA_OUTPUT_DIR | No | Directory for saved media files. Defaults to the current working directory |
generate_imageGenerate an image from a text prompt.
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Yes | Text description of the image to generate |
provider | string | No | Provider to use: openai, xai, google, bfl. Auto-selects if omitted |
aspectRatio | string | No | Aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4 |
quality | string | No | Quality level: low, standard, high |
outputDirectory | string | No | Directory to save the generated file. Absolute or relative path. Defaults to MEDIA_OUTPUT_DIR or cwd |
providerOptions | object | No | Provider-specific parameters passed through directly |
generate_videoGenerate a video from a text prompt. Video generation is asynchronous and may take several minutes.
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Yes | Text description of the video to generate |
provider | string | No | Provider to use: openai, xai, google. Auto-selects if omitted |
duration | number | No | Video duration in seconds (provider limits apply) |
aspectRatio | string | No | Aspect ratio: 16:9, 9:16, 1:1 |
resolution | string | No | Resolution: 480p, 720p, 1080p |
outputDirectory | string | No | Directory to save the generated file. Absolute or relative path. Defaults to MEDIA_OUTPUT_DIR or cwd |
providerOptions | object | No | Provider-specific parameters passed through directly |
generate_audioGenerate audio from text. Supports text-to-speech and sound effects. Audio generation is synchronous.
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Yes | Text to convert to speech, or a description of the sound effect to generate |
provider | string | No | Provider to use: openai, google, elevenlabs. Auto-selects if omitted |
voice | string | No | Voice name (provider-specific). OpenAI: alloy, ash, coral, echo, fable, nova, onyx, sage, shimmer. Google: Kore, Charon, Fenrir, Aoede, Puck, etc. ElevenLabs: voice ID |
speed | number | No | Speech speed multiplier (OpenAI only): 0.25 to 4.0 |
format | string | No | Output format (OpenAI only): mp3, opus, aac, flac, wav, pcm |
outputDirectory | string | No | Directory to save the generated file. Absolute or relative path. Defaults to MEDIA_OUTPUT_DIR or cwd |
providerOptions | object | No | Provider-specific parameters passed through directly. ElevenLabs: set mode: "sound-effect" for sound effects, model for TTS model selection |
transcribe_audioTranscribe audio to text (speech-to-text).
| Parameter | Type | Required | Description |
|---|---|---|---|
audioPath | string | Yes | Absolute path to the audio file to transcribe |
provider | string | No | Provider to use: openai, elevenlabs. Auto-selects if omitted |
language | string | No | Language code (e.g., en, fr, es) to hint the transcription language |
providerOptions | object | No | Provider-specific parameters passed through directly |
list_providersList all configured media generation providers and their capabilities. Takes no parameters.
| Provider | Image | Image Editing | Video | Audio | Transcription | Key Models |
|---|---|---|---|---|---|---|
| OpenAI | ✅ | ✅ | ✅ | ✅ | ✅ | gpt-image-1, sora-2, tts-1, whisper-1 |
| xAI | ✅ | ✅ | ✅ | — | — | grok-imagine-image, grok-imagine-video |
| Gemini | ✅ | ✅ | ✅ | ✅ | — | imagen-4, veo-3.1, gemini-2.5-flash-preview-tts |
| ElevenLabs | — | — | — | ✅ | ✅ | eleven_flash_v2_5, scribe_v1 |
| BFL | ✅ | ✅ | — | — | — | flux-pro-1.1, flux-kontext-pro |
| Provider | 1:1 | 16:9 | 9:16 | 4:3 | 3:4 |
|---|---|---|---|---|---|
| OpenAI | ✅ | ✅ | ✅ | ✅ | ✅ |
| xAI | ✅ | ✅ | ✅ | ✅ | ✅ |
| Gemini | ✅ | ✅ | ✅ | ✅ | ✅ |
| BFL | ✅ | ✅ | ✅ | ✅ | ✅ |
| Provider | 16:9 | 9:16 | 1:1 | 480p | 720p | 1080p |
|---|---|---|---|---|---|---|
| OpenAI | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| xAI | ✅ | ✅ | ✅ | — | ✅ | ✅ |
| Gemini | ✅ | ✅ | — | — | ✅ | ✅ |
| Provider | mp3 | opus | aac | flac | wav | pcm |
|---|---|---|---|---|---|---|
| OpenAI | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Gemini | — | — | — | — | ✅ | — |
| ElevenLabs | ✅ | ✅ | — | — | — | ✅ |
[config] No provider API keys detected
Set at least one of OPENAI_API_KEY, XAI_API_KEY, GEMINI_API_KEY, ELEVENLABS_API_KEY, or BFL_API_KEY in the MCP server's env block.
Each provider supports different media types (see Provider Capabilities). If you specify a provider that isn't configured (no API key) or doesn't support the requested media type, you'll receive an error. Omit the provider parameter to auto-select from configured providers.
Video generation polls for up to 10 minutes. If your video hasn't completed in that window, the request will fail with a timeout error. Try a shorter duration or a simpler prompt.
This indicates the xAI API returned an empty response. Check that your XAI_API_KEY is valid and that your prompt does not violate xAI content policies.
Verify your GEMINI_API_KEY has the Generative Language API enabled in Google Cloud Console.
npm run build # Compile TypeScript to build/
npm test # Run tests with Vitest npm run lint # Lint and auto-fix with ESLint npm run typecheck # Type-check without emitting npm run dev # Watch mode for TypeScript compilation
Replace OPENAI_API_KEY with your provider of choice (XAI_API_KEY, GEMINI_API_KEY, ELEVENLABS_API_KEY, BFL_API_KEY). You can set multiple keys to enable multiple providers.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "multimodal-mcp": { "command": "npx", "args": ["@r16t/multimodal-mcp@latest"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Add to .cursor/mcp.json in your project root (or ~/.cursor/mcp.json globally):
{
"mcpServers": { "multimodal-mcp": { "command": "npx", "args": ["@r16t/multimodal-mcp@latest"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Add to .vscode/mcp.json in your project root:
{
"servers": { "multimodal-mcp": { "command": "npx", "args": ["@r16t/multimodal-mcp@latest"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "multimodal-mcp": { "command": "npx", "args": ["@r16t/multimodal-mcp@latest"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Add to ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:
{
"mcpServers": { "multimodal-mcp": { "command": "npx", "args": ["@r16t/multimodal-mcp@latest"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
MIT