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)
Local text to speech in about 190 voices and 31 languages, offline with no limits.
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.
SUPERCLONICA_API_KEY, SUPERCLONICA_DEVICEValues 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": {
"superclonica": {
"command": "uvx",
"args": [
"superclonica-mcp"
],
"env": {
"SUPERCLONICA_API_KEY": "your-value",
"SUPERCLONICA_DEVICE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add superclonica --env SUPERCLONICA_API_KEY=your-value --env SUPERCLONICA_DEVICE=your-value -- uvx superclonica-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"superclonica": {
"command": "uvx",
"args": [
"superclonica-mcp"
],
"env": {
"SUPERCLONICA_API_KEY": "your-value",
"SUPERCLONICA_DEVICE": "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": {
"superclonica": {
"type": "stdio",
"command": "uvx",
"args": [
"superclonica-mcp"
],
"env": {
"SUPERCLONICA_API_KEY": "your-value",
"SUPERCLONICA_DEVICE": "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.
SUPERCLONICA_DEVICE 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 8, 2026
The registry name was verified with the GitHub account superclonica-tts, 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: SUPERCLONICA_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 (0.1.1) reached the registry 6 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:★ 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.
Text to speech for Claude and other MCP clients, running on your own computer: offline after the first run, no limits, 31 languages. It is the local sibling of the cloud server at https://superclonica.com/mcp, with the same tool names. Voices come from the SuperClonica catalog.
Works on Windows, macOS and Linux with Python 3.10 or newer. Chinese is not supported.
You need uv, which gives the uvx command. The first start installs the engine, which takes a minute or two. The first speak downloads the voice model (about 400 MB) once.
Claude Desktop. Add this to claude_desktop_config.json and restart the app:
{
"mcpServers": { "superclonica": { "command": "uvx", "args": ["superclonica-mcp"], "env": { "SUPERCLONICA_API_KEY": "sc_..." } } } }
If the app cannot find uvx, put the full path to it in command. On Windows where uvx prints it, on macOS and Linux which uvx.
Claude Code:
claude mcp add superclonica -e SUPERCLONICA_API_KEY=sc_... -- uvx superclonica-mcp
Cursor (~/.cursor/mcp.json) takes the same JSON as Claude Desktop. VS Code (.vscode/mcp.json) takes the same entry under "servers", with "type": "stdio" added.
Without uvx, these start the same server: pipx run superclonica-mcp, or python -m superclonica_mcp after pip install superclonica-mcp.
The API key is optional. Stock and free catalog voices need none. Installing a bought or your own voice does; creating a key is free.
| Tool | What it does |
|---|---|
list_voices(query?, limit?) | Voices on this computer and, when online, the catalog. Shows for each whether it is installed, yours, free or must be bought, with its page. |
speak(text, voice, language, format?, output_path?, include_audio?) | Voices the text on this computer and saves mp3, wav or ogg. Gives the file's path and length, and the audio itself if asked. Up to 20000 characters per call. An existing file is never overwritten. |
install_voice(voice) | Downloads a voice you may use to this computer. A version you already have is not downloaded again. |
buy_voice(voice) | Gives the link to the voice's page. It never pays: you buy in your browser, then tell the assistant to install it. |
play(path) | Plays an mp3, wav or ogg file with the system player. |
get_usage() | Whether the model is loaded and on what device, and which folders are used. The local engine has no limits. |
voice is an id from list_voices, a stock name (F1–F5, M1–M5) or an exact name. When a name fits several voices you get the candidates to choose from, never a guess.
To use your own voice file, put its JSON in the voices folder. It goes by its file name.
list_voices.buy_voice and gives you a link that opens the purchase window.All are optional environment variables.
| Variable | Meaning | Default |
|---|---|---|
SUPERCLONICA_API_KEY | Key for installing bought and your own voices | none |
SUPERCLONICA_VOICES_DIR | Folder of voices | Windows %APPDATA%\SuperClonica\voices; macOS ~/Library/Application Support/SuperClonica/voices; Linux ~/.local/share/superclonica/voices |
SUPERCLONICA_OUTPUT_DIR | Folder for audio | audio beside the voices folder |
SUPERCLONICA_DEVICE | cpu or gpu | GPU if the GPU engine is installed, else CPU |
uvx superclonica-mcp installs the CPU engine, and the CPU and GPU engines cannot share one environment. For the GPU engine (Windows or Linux x86-64, Python 3.11+), make an environment of its own:
uv venv superclonica-gpu --python 3.12
uv pip install --python superclonica-gpu superclonica-gpu-cuda uv pip install --python superclonica-gpu --no-deps superclonica-mcp uv pip install --python superclonica-gpu "mcp>=2.3,<3" "truststore>=0.10"
Then use the Python of that environment as the command, with -m superclonica_mcp as the arguments and SUPERCLONICA_DEVICE=gpu in env.
Apache-2.0. The voice model is Supertonic 3 under its own OpenRAIL-M license, downloaded from its original place by the engine.