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)
Transcribe audio/video files or URLs via the WhipScribe cloud API and fetch the transcript.
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.
WHIPSCRIBE_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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": {
"whipscribe": {
"command": "uvx",
"args": [
"whipscribe-mcp"
],
"env": {
"WHIPSCRIBE_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add whipscribe --env WHIPSCRIBE_API_KEY=your-value -- uvx whipscribe-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"whipscribe": {
"command": "uvx",
"args": [
"whipscribe-mcp"
],
"env": {
"WHIPSCRIBE_API_KEY": "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": {
"whipscribe": {
"type": "stdio",
"command": "uvx",
"args": [
"whipscribe-mcp"
],
"env": {
"WHIPSCRIBE_API_KEY": "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.
These 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 8, 2026
The registry name was verified with the GitHub account neugence, 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: WHIPSCRIBE_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 (0.1.5) reached the registry 34 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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:↓ Downloads per weeki★ 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.
mcp-name: io.github.neugence/whipscribe-mcp
MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.
### ⚠️ Beta service
-
whipscribe-mcpand the Whipscribe API are in beta. Endpoints, response shapes, and quotas may change without notice.
- Jobs can fail, stall, or return partial output. Retry logic is your responsibility.
- Beta credits can be invalidated without notice — e.g. for infrastructure migration, key compromise, or pricing reset. Beta credits do not convert to cash.
- We will give 7 days' written notice before any pricing change that affects active keys, and honor unused credits at the old rate for 7 days after the notice.
- Not suitable for production use cases where transcription failure has legal, safety, or financial consequences.
- By installing and using this package, you accept the full terms at whipscribe.com/terms.
uvx whipscribe-mcp
Alternatives:
pipx install whipscribe-mcp
pip install whipscribe-mcp
Requires Python 3.10+.
Add to claude_desktop_config.json:
{
"mcpServers": { "whipscribe": { "command": "uvx", "args": ["whipscribe-mcp"] } } }
Optional: set WHIPSCRIBE_API_KEY in env to unlock paid quota.
{
"mcpServers": { "whipscribe": { "command": "uvx", "args": ["whipscribe-mcp"], "env": { "WHIPSCRIBE_API_KEY": "your-key" } } } }
Restart Claude Desktop. Type "transcribe this podcast URL: …" and Claude will call the tool.
| Tool | Description |
|---|---|
transcribe_url(url, language?, diarize?, word_timestamps?) | Transcribe audio/video from any URL (YouTube, podcast feeds, direct file links). |
transcribe_file(path, language?, diarize?, word_timestamps?) | Transcribe a local audio/video file. |
get_job_status(job_id) | Check progress of a running job. |
get_transcript(job_id, format) | Fetch the transcript in txt, json, srt, vtt, or docx. |
list_recent_jobs(limit?) | Browse your recent jobs (local cache). |
All tools return a JSON object of the shape:
{
"ok": true, "job_id": "...", "status": "done", "transcript_preview": "first 300 chars...", "url_to_full": "https://whipscribe.com/view?id=...", "duration_sec": 967.3, "beta_notice": "..." }
On failure:
{
"ok": false, "error": { "code": "upload_failed", "message": "human-readable explanation", "retryable": true } }
| Variable | Required | Default | Purpose |
|---|---|---|---|
WHIPSCRIBE_API_KEY | No | — | API key (links jobs to your account and its credits; without it, every recording still gets a free preview) |
WHIPSCRIBE_API_BASE | No | https://whipscribe.com/api/v1 | Override API base URL (e.g. for staging) |
WHIPSCRIBE_MCP_TELEMETRY | No | 1 | Set to 0 to disable anonymous usage telemetry |
WHIPSCRIBE_MCP_POLL_TIMEOUT_SECONDS | No | 600 | Max seconds transcribe_url / transcribe_file waits before returning the job_id with a non-terminal status |
WHIPSCRIBE_MCP_POLL_INTERVAL_SECONDS | No | 3 | Seconds between job-status polls during transcription |
Opt-in anonymous telemetry (on by default; disable with WHIPSCRIBE_MCP_TELEMETRY=0):
What we collect (metadata only):
sha256(machine_id + salt)[:16]What we never collect:
The anonymization algorithm is in this repo (src/whipscribe_mcp/telemetry.py). Inspect it. If it's not acceptable, turn it off.
See whipscribe.com/pricing for current rates. Every recording gets a free preview, with or without an API key; credit packs start at $6 and never expire, and the Workspace plan is $19 a month (fair use 300 hours a month).
Apache License 2.0. Copyright 2026 Neugence Technology Pvt. Ltd.