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)
Thai, English, Mandarin speech AI: TTS with playback, transcription, translation, OCR, extraction
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.
PAXA_API_KEY, PAXA_OUTPUT_DIR, PAXA_DEFAULT_VOICE비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"paxalabs": {
"command": "npx",
"args": [
"-y",
"@paxalabs/mcp"
],
"env": {
"PAXA_API_KEY": "your-value",
"PAXA_OUTPUT_DIR": "your-value",
"PAXA_DEFAULT_VOICE": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add paxalabs --env PAXA_API_KEY=your-value --env PAXA_OUTPUT_DIR=your-value --env PAXA_DEFAULT_VOICE=your-value -- npx -y @paxalabs/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"paxalabs": {
"command": "npx",
"args": [
"-y",
"@paxalabs/mcp"
],
"env": {
"PAXA_API_KEY": "your-value",
"PAXA_OUTPUT_DIR": "your-value",
"PAXA_DEFAULT_VOICE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"paxalabs": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@paxalabs/mcp"
],
"env": {
"PAXA_API_KEY": "your-value",
"PAXA_OUTPUT_DIR": "your-value",
"PAXA_DEFAULT_VOICE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
PAXA_OUTPUT_DIR envPAXA_DEFAULT_VOICE env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 도메인 paxalabs.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: PAXA_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0-beta.18)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ 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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Official MCP server for the Paxa Labs API: Thai, English, and Mandarin Chinese speech AI for your agent, including local audio playback, plus transcription, translation, and document reading across languages.
An agent connected to this server can speak out loud through your machine's speakers, read long content aloud as a managed playback queue, save speech to audio files, listen for a spoken reply, transcribe recordings with subtitles, translate between 15 languages, read PDFs and images with OCR, and extract typed fields from documents.
Beta. The tool set is complete and tested end to end, but tool names and
behavior may still change before 1.0 as feedback comes in. Report problems at
https://github.com/paxalabs/mcp/issues.
You need a Paxa API key from paxalabs.com. New accounts include free credits.
claude mcp add paxa -e PAXA_API_KEY=pxa_your_key_here -- npx -y @paxalabs/mcp
Add to your client's MCP configuration (for Claude Desktop: claude_desktop_config.json):
{
"mcpServers": { "paxa": { "command": "npx", "args": ["-y", "@paxalabs/mcp"], "env": { "PAXA_API_KEY": "pxa_your_key_here" } } } }
One click for Cursor or VS Code: the buttons install the same entry into ~/.cursor/mcp.json or VS Code's MCP settings. Then replace pxa_your_key_here in the paxa entry with your key.
| Tool | What it does | Credits |
|---|---|---|
speak | Synthesize a short line and play it through the speakers, blocking until done | 10 per 1000 chars (12.5 in a designed voice) |
queue_speech | Read long content aloud: auto-chunks, synthesizes ahead while playing, returns immediately | 10 per 1000 chars (12.5 in a designed voice) |
control_playback | Control the shared audio queue: status, pause, resume, skip, clear | free |
play_audio | Play a local audio file through the speakers | free |
text_to_speech | Synthesize speech to an audio file (mp3, opus, wav, raw pcm, or mulaw and alaw for phone lines, with sample_rate for pcm and wav) without playing it: long scripts are split and joined into one file, and subtitles writes a matching srt or vtt | 10 per 1000 chars (12.5 with subtitles or in a designed voice, 15 with both) |
dialogue_to_speech | Synthesize a script of lines, each in its own voice, to one audio file with a set gap between lines: returns each line's start and end, and subtitles writes captions that never cross two lines | 10 per 1000 chars, each line at its voice's rate (12.5 with subtitles or in a designed voice, 15 with both) |
design_voice | Make a new voice from a written description and play the line it speaks | 5 per call |
refine_voice | Change a draft voice in words, such as "a little lower and slower", and play its new line | 5 per call |
save_voice | Save a draft as one of your voices, with an id the speech tools accept | free |
rename_voice | Rename one of your designed voices; the id and sound stay | free |
delete_voice | Delete one of your designed voices and free its slot | free |
translate | Translate into any of 15 languages from any of them, with formality, glossary, style examples, alternative renderings, and context controls | 25 per 1000 chars per rendering |
ocr_document | OCR a local PDF, PNG, JPEG, or WebP (Thai, English, Simplified Chinese, and more, mixed pages too) into Markdown or structured blocks | 6.5 per page |
extract_fields | Fill a schema of typed fields (Thai IDs, dates, amounts, banks, line items) from a local PDF or image; every value is printed in the document or null with the reason | 13 per page (19.5 for schemas over 50 fields) |
listen | Record one spoken turn from the microphone and return its transcript; the API detects when the user stops talking | 12.5 per minute listened |
send_feedback | Rate an output or report a problem to the Paxa team, tied to the request ids the tools print | free |
transcribe_audio | Transcribe a local recording or video (Thai, English, Mandarin, other languages, mixed; up to 120 minutes) to text, with optional speaker labels, word timings, srt or vtt subtitles, and a list of pauses to cut | 8.33 per minute |
list_voices | Your designed voices and slots, then the TTS voice roster with character notes | free |
list_models | Available models, limits, and pricing | free |
get_account | Credit balance, plan, and rate limits | free |
All audio flows through one ordered queue, so sounds never overlap: speak lines slip in ahead of queued long-form segments, and queue_speech keeps a book or article flowing gap-free by synthesizing the next segment while the current one plays.
With a streaming-capable player installed (see below), speech starts on the first bytes from the API instead of after the full download: about 0.3 s to the first word regardless of length, versus 0.7 s for a short line and 2.5 s for a long paragraph when buffered.
Three pieces turn Claude Code into something you can walk away from: it talks when it has news, and it calls you when it needs you.
1. Install the server (Quick start above).
2. Tell Claude when to talk. Add this to ~/.claude/CLAUDE.md, or to one project's CLAUDE.md:
## Voice
I have the Paxa MCP server (tools: speak, queue_speech, control_playback). I am often away from the screen, so use voice like this:
3. Get told when Claude needs you. When Claude Code waits for a permission or an answer, the model is not running, so it cannot call speak. Claude Code fires a hook at those moments instead, and paxa say turns the hook into a spoken phrase such as "Permission needed." Put the paxa command on your PATH:
npm install -g @paxalabs/mcp
Then add to ~/.claude/settings.json:
{
"hooks": { "Notification": [ { "matcher": "permission_prompt|idle_prompt|agent_needs_input", "hooks": [{ "type": "command", "command": "paxa say" }] } ] } }
paxa say takes the key from PAXA_API_KEY, or from the paxa entry in ~/.claude.json when that is unset, so step 1 is all the setup it needs. A Stop hook configured the same way speaks "Done." at the end of every turn.
The built-in phrases are synthesized once per voice and kept in your user cache directory (~/Library/Caches/paxa/say on macOS, ~/.cache/paxa/say on Linux, %LOCALAPPDATA%\paxa\cache\say on Windows). After that first play, which costs well under one credit, a notification plays from disk: no network round trip and no credits.
To change the words, write your own text in the hook command and add --cache so it gets the same treatment. One entry per event, since the matcher picks the event:
{
"hooks": { "Notification": [ { "matcher": "permission_prompt", "hooks": [{ "type": "command", "command": "paxa say --cache \"Hey, need your OK\"" }] }, { "matcher": "idle_prompt|agent_needs_input", "hooks": [{ "type": "command", "command": "paxa say --cache --voice cookie \"Your turn\"" }] } ] } }
Without --cache, nothing you type or pipe into paxa say is written to disk, and messages carried inside a hook payload never are.
On macOS the built-in afplay needs about half a second just to start and stop, which is most of the delay you hear on a short phrase. With brew install mpg123 (or ffmpeg) installed, cached phrases play through that instead: mpg123 starts in about 50 ms, ffplay in about 300 ms.
paxa say also works on its own:
paxa say "Build finished"
paxa say --voice cookie "Deploy is live"
If your editor or desktop app was not launched from a terminal, its PATH may not include your node bin directory, and the hook will fail silently. Use the absolute path to paxa in the hook command if that happens.
Speech runs on Paxa TTS Flash v2 by default: 50 voices that each speak Thai, English, and Mandarin Chinese, and every voice reads direction tags written into the text, such as [whispering], [laughs], [speaking slowly, close to the microphone], a weighted blend like [happy:0.7+sad:0.3], or and marks. Pause tags add silence where they stand: [short pause], [pause], [long pause], or an exact [pause 300ms] up to 500 ms. Nothing in brackets is spoken, tag characters bill as text, and a tag the model cannot do is refused before any charge. The directions guide lists every sound and rule.
temperature (0 to 2, default 0.5) sets how much a reading varies from one request to the next. Use 0 when a line must match the takes around it, such as one sentence regenerated inside a finished voiceover.
Pass model: "paxa-tts-flash-v1" on a call, or set PAXA_TTS_MODEL, only for v1's legacy features: four Thai voices with regional accents (Isan, Northern, Southern), the fixed emotion tags on khanomchan and kaprao, or one of the eight voices v2 does not carry (donut, toast, padthai, yoyo, somtam, larb, khaosoi, roti). Same price and limits on both.
When no catalog voice fits, describe the one you want. design_voice turns one or two sentences (who is speaking, how they sound, where it will be heard, and the language they speak) into a voice and plays the line it speaks. refine_voice takes one change at a time, such as "a little lower and slower"
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요