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)
Drive Longtake Studio from an agent: AI video takes on your own API key, characters, drafts, costs
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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.
STUDIO_URL, STUDIO_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "your-value",
"STUDIO_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add longtake --env STUDIO_URL=your-value --env STUDIO_TOKEN=your-value -- npx -y longtake-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "your-value",
"STUDIO_TOKEN": "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": {
"longtake": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "your-value",
"STUDIO_TOKEN": "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 7, 2026
The registry name was verified with the GitHub account svatrous, 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: STUDIO_URL, STUDIO_TOKEN
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 (1.0.2) reached the registry 28 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
MCP server for Longtake Studio — an AI video studio that runs on your own API key. With this server an AI agent (Claude Code, Codex, Cursor, any MCP client) can set up a production, cast characters with a locked voice, shoot takes on Seedance 2.0 / 2.5, Veo 3.1, Gemini Omni or Kling 3.0, draft cheaply and finish in 1080p, and read back the cost of every render.
Renders launched by an agent are billed exactly like clicks in the studio: the model provider (BytePlus, Google, Kling, fal.ai) charges your own key at its list price. Agent access itself is neither metered nor marked up.
Longtake is the name of the software. It is not the cinematography term "long take" — though that is where the name comes from: one take of one scene is the unit of work.
| Tool | What it does |
|---|---|
studio_overview | Projects, episodes, scenes, characters and assets — the whole studio at a glance |
create_project · create_folder · create_scene | The production structure: project → episode → scene |
create_character | Cast a character with a portrait and a locked voice sample; the studio screen-tests the portrait against moderation |
generate_mocap | A four-view character sheet (Seedream / Nano Banana Pro) |
upload_asset | Reference images, audio and video clips for the project library |
estimate_cost | The price of a take before it is shot — model, resolution, length, reference clips |
generate_video | Shoot a take; @names in the prompt resolve to characters and assets; draft: true shoots a Seedance 2.5 draft |
finish_draft | Finish a Seedance 2.5 draft in 1080p — the same take, rendered sharper |
take_status · scene_takes | Status, file, token spend and what a take was shot as |
cancel_take | Delete a take (a queued BytePlus render is cancelled at the provider) |
longtake-mcp, so npx fetches it — nothing to clone. For Claude Code: claude mcp add longtake \
-e STUDIO_URL=https://longtake.studio \ -e STUDIO_TOKEN=cf_your_token \ -- npx -y longtake-mcp
Any other MCP client takes the same command and the same two environment variables. As JSON (Cursor, Codex, Claude Desktop):
{
"mcpServers": { "longtake": { "command": "npx", "args": ["-y", "longtake-mcp"], "env": { "STUDIO_URL": "https://longtake.studio", "STUDIO_TOKEN": "cf_your_token" } } } }
Prefer a checkout? git clone https://github.com/svatrous/longtake-mcp.git && cd longtake-mcp && npm install, then point the command at node mcp-server.js.
The full guide, with what the token can and cannot do, is at longtake.studio/mcp. Prompt-writing skills for the same agent (Seedance 2.0, Seedance 2.5, Gemini Omni, character sheets) are at longtake.studio/skills.
The token acts as your account for the work: it shoots takes on your provider keys, inside your rate limits. It cannot read or change those keys, issue or revoke tokens, or touch billing — those routes turn an agent token away. Everything else you can do it can do too, including deleting a project, so keep it out of shared configs and revoke it in the same dialog if it leaks.
Local files. Three tools read a file from this machine: upload_asset; create_character, when given a portrait or a voice sample by path; and generate_mocap, for its reference photos. They take only media — jpg, png, webp, gif, mp3, wav, m4a, ogg, mp4, mov — and only a regular file whose first bytes really are that format, up to 89 MB. A directory, a device, a pipe or a text file renamed to .png is refused before anything is read or sent. What does go goes to your studio (STUDIO_URL), into the account the token belongs to, and nowhere else.
HTTPS only. The token travels over https://, or over plain http:// to a studio on this machine (localhost, 127.0.0.1, [::1]). Any other http:// address is refused before a request is made.
MIT. This file is a copy of the studio's own mcp-server.js; the studio also serves it as longtake.studio/mcp-server.cjs.