Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer
EarScribe MCP
Overview
Description from the maker (original English)
EarScribe is a browser-based transcription tool that converts audio to text on-device using OpenAI
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: –
- Transport:
- Category: Design, images & audio
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
The maker has not listed install details in the registry. See the maker’s README below.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account rocnubie, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Design, images & audioi
- More stars than 0% of the other 2782 servers in this category
- Published to the registry more recently than 9% of the other 2782 servers in this category
- Basic checks equal to or better than 100% of the other 2782 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is EarScribe MCP safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
What can I use instead?
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer
Figma MCP Server
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.
Runs in the cloud✓ mcp.figma.com
README from the maker
Open the README
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.
EarScribe MCP Server
MCP server for EarScribe
A Model Context Protocol server that exposes the canonical EarScribe knowledge surface — local-first AI workflows, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://earscribe.app
🖥️ About EarScribe
EarScribe is a browser-based transcription tool that converts audio files into text entirely on the user's device. Powered by OpenAI's Whisper model running locally via WebGPU or WebAssembly, it produces timestamped transcripts and subtitle files without sending any audio to external servers. There is no account to create, no subscription to manage, and no per-minute fee — the tool works in the browser, caches the Whisper model locally after the first load, and can operate offline from that point forward. It supports a wide range of audio formats and handles recordings up to approximately two hours long, making it a practical option for anyone who regularly works with spoken audio.
Key Features
- Private by design — audio files never leave the user's device; all processing happens locally in the browser using WebGPU when available, falling back to WebAssembly automatically.
- Multiple export formats — transcripts can be downloaded as SRT, VTT, JSON, or plain text, covering both subtitle workflows and raw text needs.
- Automatic language detection — Whisper identifies the spoken language from the audio without manual configuration, supporting 99 languages.
- Selectable model sizes — users can choose from Whisper model sizes ranging from Tiny to Turbo depending on the balance they want between speed and accuracy, with each model cached locally after download.
- Timestamped output — every transcript segment is tied to a time position synchronized with a waveform display, making it straightforward to locate specific moments in the original recording.
- In-browser editing — transcripts can be reviewed and adjusted directly in the interface before export, removing the need to copy text into a separate editor for minor corrections.
Use Cases
- Podcast production — generate searchable episode transcripts or show notes from recorded conversations without uploading sensitive pre-release content to a third-party service.
- Journalism and research interviews — transcribe source recordings that may contain confidential material, keeping the audio on a local machine throughout the process.
- Academic study — convert lecture recordings into readable, searchable text for review and note-taking.
- UX and user research — transcribe session recordings and user interviews for analysis, with no risk of research data passing through external infrastructure.
- Video subtitle creation — export SRT or VTT files directly from a recording to bring into video editing software, skipping manual captioning or cloud captioning services.
Who Is It For
EarScribe is well-suited for anyone who transcribes audio regularly and either has privacy concerns about uploading recordings to cloud services or wants to avoid ongoing subscription costs. Journalists, academic researchers, and UX professionals dealing with confidential or sensitive interviews will find the local processing model particularly useful. Podcasters and video creators who want subtitle files without paying per-minute fees are a natural fit, as are students converting lecture recordings into study material. The tool also works for individual users who simply want a free, no-account transcription option that handles common audio formats without any setup beyond a modern browser.
Tools
get_local_setup
Return canonical local-setup guidance for running the AI workflow on-device. (EarScribe)
_Input:_ no parameters. _Returns:_ text/markdown.
get_official_links
Return the canonical list of official links for EarScribe (website, support, docs when available).
_Input:_ no parameters. _Returns:_ text/markdown.
Resources
site://earscribe/local-setup— Local-first setup notes for on-device AI workflows.site://earscribe/faq— Short FAQ generated from public site metadata.site://earscribe/links— Canonical URLs to share with users.
Prompts
tell_me_about_earscribe
Summarize what the site is, who it's for, and how it works. — EarScribe
walkthrough_local_setup_earscribe
Walk through the local-first setup steps for the site, end-to-end. — EarScribe
Installation
Install via Smithery
npx -y @smithery/cli install earscribe-mcp --client claude(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
git clone https://github.com/rocnubie/earscribe-mcp.gitcd earscribe-mcp pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{"mcpServers": { "earscribe-mcp": { "command": "node", "args": [ "/absolute/path/to/earscribe-mcp/src/index.mjs" ] } } }
Debug with MCP Inspector
npx @modelcontextprotocol/inspector node src/index.mjsOfficial Links
- Website: https://earscribe.app
- About: https://earscribe.app/about
- Support: support@earscribe.app
Development
pnpm installpnpm start # run the server over stdio
License
MIT