ai.saymaker/saymaker-mcp
Generate and edit AI images and video on SayMaker: Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
saymaker-mcpclaude mcp add saymaker-mcp -- npx -y saymaker-mcp@0.1.1
{
"mcpServers": {
"saymaker-mcp": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp@0.1.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
SayMaker MCP
Run SayMaker'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-mcp
Claude 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-mcp
Claude Code plugin
claude plugin marketplace add hanshs474/saymaker-mcp
claude plugin install saymaker@saymaker
API key
Create one at 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.
Frequently asked questions
What is ai.saymaker/saymaker-mcp?
Generate and edit AI images and video on SayMaker: Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2.
How do I install ai.saymaker/saymaker-mcp?
It runs on your machine. In Claude Code: claude mcp add saymaker-mcp -- npx -y saymaker-mcp@0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does ai.saymaker/saymaker-mcp need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is ai.saymaker/saymaker-mcp open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains ai.saymaker/saymaker-mcp?
It is published by hanshs474. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.