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)
Image and video generation with one Modelflare Smart API Key.
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.
MODELFLARE_API_KEY, MODELFLARE_BASE_URL, MODELFLARE_OUTPUT_DIRValues 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": {
"castaly-ai": {
"command": "npx",
"args": [
"-y",
"@modelflare/mcp-server"
],
"env": {
"MODELFLARE_API_KEY": "your-value",
"MODELFLARE_BASE_URL": "your-value",
"MODELFLARE_OUTPUT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add castaly-ai --env MODELFLARE_API_KEY=your-value --env MODELFLARE_BASE_URL=your-value --env MODELFLARE_OUTPUT_DIR=your-value -- npx -y @modelflare/mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"castaly-ai": {
"command": "npx",
"args": [
"-y",
"@modelflare/mcp-server"
],
"env": {
"MODELFLARE_API_KEY": "your-value",
"MODELFLARE_BASE_URL": "your-value",
"MODELFLARE_OUTPUT_DIR": "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": {
"castaly-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelflare/mcp-server"
],
"env": {
"MODELFLARE_API_KEY": "your-value",
"MODELFLARE_BASE_URL": "your-value",
"MODELFLARE_OUTPUT_DIR": "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.
MODELFLARE_BASE_URL envMODELFLARE_OUTPUT_DIR 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 castaly-ai, 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: MODELFLARE_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 (0.1.2) reached the registry 15 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.
Image and video generation for any MCP client — Claude Desktop, Cursor, Gemini CLI and more — with one Modelflare Smart API Key for every image and video model available to your account.
用一个 Modelflare Smart API Key,在任意 MCP 客户端里调用你账号可用的全部图像和视频模型。
mcp-name: io.github.castaly-ai/mcp-server
控制台 API Keys →「Create Smart API Key」,选择路由策略(均衡 / 稳定优先 / 低价优先)。
Add the server to your MCP client:
{
"mcpServers": { "modelflare": { "command": "npx", "args": ["-y", "@modelflare/mcp-server"], "env": { "MODELFLARE_API_KEY": " " } } } }
| Variable | Value |
|---|---|
MODELFLARE_API_KEY | your Smart API Key (required) |
MODELFLARE_BASE_URL | global → https://modelflare.dev/v1 (default) · china → https://origin.modelflare.dev/v1 · or a custom URL |
MODELFLARE_OUTPUT_DIR | where images and videos are saved (default ./modelflare-output) |
MODELFLARE_LOCALE | en (default) or zh for error messages |
Claude Desktop: download modelflare-mcp- .mcpb from Releases and open it; Claude Desktop asks for the API key, base URL and output folder. modelflare-mcp- -smithery.mcpb is the same bundle with each tool's inputSchema in the manifest, as Smithery requires. node build-mcpb.mjs rebuilds both.
| Tool | What it does |
|---|---|
list_models | Image and video models your key can call, each with the docs page holding its exact request fields. kind: "text" lists text models. |
generate_image | Generates an image, or edits one with edit: true, and saves it. Gemini image models use generateContent; the others use the Images API. |
create_video | Starts an asynchronous video task and returns its task ID. |
get_video_status | Status and progress of a video task. |
download_video | Saves a finished video; can wait up to 300 seconds first. |
Model-specific fields go in parameters (images) or request (videos) and are sent unchanged. The model list comes from your key, so new models appear without editing the key. Generated results are saved right away because result URLs expire.
Calls are billed to your Modelflare balance by actual usage; see https://modelflare.dev/usage-logs.
Docs: https://docs.modelflare.dev/ · Pricing: https://modelflare.dev/pricing
Listed on the M8ven MCP Trust Index.
MIT © Havenbyte LLC