Figma Context MCP
by GLips
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer★ 16,165MITUpdated 5 months ago
Install
Saymaker MCP
Overview
Description from the maker (original English)
Generate and edit AI images and video on SayMaker: Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2.
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
- UsageiNot measured yet★ –
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: Runs on your computer
- Transport: stdio
- 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.
You need
- npmNode.js installed (for the npx command)
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": {
"saymaker": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
}Run this in your terminal
claude mcp add saymaker -- npx -y saymaker-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"saymaker": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"saymaker": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
}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.
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain saymaker.ai (the registry checks domain ownership)
- … 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 2175 servers in this category
- Published to the registry more recently than 46% of the other 2175 servers in this category
- Basic checks equal to or better than 100% of the other 2175 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 Saymaker 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 (0.1.1) reached the registry 32 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
by HUANGCHIHHUNGLeo
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer★ 2,284MITUpdated 2 months ago
Install
Figma MCP Server
by figma
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★ 2,152Updated 13 months ago
Install
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.
SayMaker MCP
Run [SayMaker](https://saymaker.ai)'s image and video models from any MCP client — Claude, Cursor, Cline, Codex. Ask for a picture or a clip in chat, get the file back.
One credit balance covers the whole shelf: Veo 3.1, Kling 3.0, Seedance 2.0 and 2.5, Nano Banana 2, GPT Image 2.5, Seedream 5.0, Qwen Image 3, MiniMax H3, LTX 2.5, Wan 3.0 and more. Every run reports the exact credit cost it charged, and a run that fails for a technical reason is refunded.
Tools
| Tool | What it does |
|---|---|
list_models | Every image and video model, and the input each one takes |
generate_image | Text to image, with aspect ratio and resolution |
edit_image | Change one thing in a photo and keep the rest |
generate_video | Text to video, or animate a still you pass in |
get_task | Poll a run submitted with wait: false |
open_in_saymaker | The URL to carry on in the browser |
Install
npx saymaker-mcpClaude Desktop / Claude Code
{"mcpServers": { "saymaker": { "command": "npx", "args": ["-y", "saymaker-mcp"], "env": { "SAYMAKER_API_KEY": "sk-..." } } } }
Cursor / Cline
Point the client at npx -y saymaker-mcp (stdio transport) and set SAYMAKER_API_KEY in its environment.
Gemini CLI
gemini extensions install https://github.com/hanshs474/saymaker-mcpClaude Code plugin
claude plugin marketplace add hanshs474/saymaker-mcpclaude plugin install saymaker@saymaker
API key
Create one at [saymaker.ai/settings/apikeys](https://saymaker.ai/settings/apikeys). A key runs on your own account: same models, same credit prices, same plan, and the runs land in your library at saymaker.ai/history.
Every run needs a key; new accounts get sign-up credits. On a free account minimax-h3-fast is the video model that runs, and runs wait in a queue before they start; a plan starts them at once.
Notes
- Video takes minutes, so
generate_videoreturns a task id by default. Passwait: trueto block, or poll withget_task. - For an edit, describe the change and what must stay: "change the jacket to dark green, keep the face, pose and background exactly as they are". That second half is what decides whether the edit holds.
SAYMAKER_BASE_URLoverrides the endpoint; only useful when testing against a local build of the site.
MIT licensed. Made by SayMaker — the AI video generator agent: say the result, it runs the steps.