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)
Private on-device speech to text: transcribe audio files and search your Yap dictations. No upload.
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Download the maker’s .mcpb file
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Runs on your computer; the tool list appears in your AI app after you install it.
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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
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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 (1.0.0) reached the registry 19 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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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.
Give Claude, Cursor, VS Code, Windsurf or any MCP client the ability to transcribe audio files on your own computer, and to search what you dictated with the Yap app. No upload, no API key, no account.
Yap MCP runs the same speech engine as the Yap dictation app: NVIDIA Parakeet TDT v3 through sherpa-onnx, on your CPU. Audio never leaves your machine; the only network request is a one-time, checksum-verified download of the speech model (about 670 MB) from Hugging Face.
| Tool | What it does |
|---|---|
transcribe_audio | Transcribes a local audio or video file of any length: WAV, MP3, M4A/AAC, MP4, FLAC, OGG, Opus, WebM, AIFF, CAF and more. Detects the language automatically among 25 European languages. Optional start-time stamps per passage and Yap's cleanup (capitalization, punctuation, "um" removed). |
search_dictations | Searches the dictation history the Yap app keeps on this computer (Mac and Windows), newest first. Read-only. |
prepare_speech_model | Downloads and verifies the speech model ahead of the first transcription, or reports its status. |
Ask your assistant things like "transcribe ~/Downloads/interview.m4a with timestamps", "summarize the voice memo on my desktop", or "what did I dictate about the budget this week?".
Requires Node.js 20 or newer (22.13+ for search_dictations). macOS (Apple Silicon and Intel), Windows x64 and Linux x64/arm64.
Claude Desktop, one click: download yap.mcpb and open it (macOS and Windows). Or add to claude_desktop_config.json:
{
"mcpServers": { "yap": { "command": "npx", "args": ["-y", "github:founden-bot/yap-mcp"] } } }
Claude Code:
claude mcp add yap -- npx -y github:founden-bot/yap-mcp
Claude Code plugin: /plugin marketplace add founden-bot/yap-mcp, then /plugin install yap@yap. The plugin runs the server from its own folder (node ${CLAUDE_PLUGIN_ROOT}/src/index.js) with the dependencies pinned in package-lock.json, and adds the transcribe-recordings skill.
Gemini CLI: gemini extensions install https://github.com/founden-bot/yap-mcp.
Cursor, Windsurf, VS Code, Cline, Zed and other clients: add a stdio server with command npx and arguments -y github:founden-bot/yap-mcp.
The first transcription downloads the model once (a few minutes on a typical connection) and answers with the progress while it does; after that, everything runs offline. Transcription runs about ten times faster than real time on a modern laptop, so an hour of audio takes about six minutes.
The same engine as a command: npx -y -p github:founden-bot/yap-mcp yap-transcribe memo.m4a prints the transcript (add --timestamps for start times, several files at once are fine).
English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Ukrainian, Swedish, Danish, Finnish, Czech, Slovak, Hungarian, Romanian, Bulgarian, Greek, Croatian, Slovenian, Latvian, Lithuanian, Estonian and Maltese.
search_dictations opens the Yap history database read-only and returns only the dictations that match; that text then goes to the assistant you are using, like anything else you show it.YAP_MCP_CACHE moves the model cache (default: ~/Library/Caches/yap-mcp on macOS, %LOCALAPPDATA%\yap-mcp on Windows, ~/.cache/yap-mcp on Linux). On Windows, a model already downloaded by the Yap app is reused.Yap MCP handles recordings. To speak into any app as you work (your editor, Slack, email, the Claude and ChatGPT apps), use Yap: hold a key, talk, and the text appears where your cursor is, transcribed on your computer.
MIT for this code. The speech model is NVIDIA Parakeet TDT 0.6B v3 (CC-BY-4.0), ONNX conversion by the sherpa-onnx project (Apache-2.0).
Made by Yap, O-mega Enterprise Inc. Questions: hello@yapapp.cc