MiniMax Vision MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MiniMax Vision MCP ServerDescribe what's happening in this image: /tmp/screenshot.png"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MiniMax Vision MCP Server
MCP server for MiniMax vision models â analyze images through the
OpenAI-compatible POST /v1/chat/completions endpoint.
Features
đŧī¸ Analyze images â local files (png/jpg/jpeg/gif/webp/bmp) and remote HTTP(S) URLs
đ§ MiniMax-M3: image + video understanding, 1M context, adaptive thinking
đī¸
temperaturefully configurable[0, 2](unlike some providers that lock it)đ
thinkingflag â enables adaptive thinking +reasoning_spliton M3⥠Zero non-MCP dependencies, one-line
npxdeploy
Related MCP server: imagine-mcp
Requirements
Node.js >= 18
A MiniMax platform API key (č´ĻæˇįŽĄį â æĨåŖå¯éĨ)
Install & run
cd minimax-vision-mcp-server
npm install
npm startEnvironment variables
Variable | Required | Default | Description |
| â | â | Your MiniMax API key. |
|
| Model: | |
|
| Override endpoint (for proxies). | |
|
| Default max output tokens. M3 supports up to 524288. |
Note: International users may use
https://api.minimaxi.com/v1as the base URL.
Claude Code / CC-Switch config
{
"mcpServers": {
"minimax-vision": {
"type": "stdio",
"command": "npx",
"args": ["-y", "minimax-vision-mcp-server"],
"env": {
"MINIMAX_API_KEY": "your-minimax-api-key",
"MINIMAX_MODEL": "MiniMax-M3"
}
}
}
}Tool: minimax_vision_understand
Parameter | Type | Required | Description |
| string | â | Local image path or remote HTTP(S) URL. |
| string | â | What to ask about the image. |
| number | Max output tokens. Default 8192. | |
| number | 0-2, default 1. | |
| bool | Enable adaptive thinking + reasoning split (M3). M2.x always think; ignored there. |
Why MiniMax for vision?
1M context on M3 â analyze long documents alongside images
Native image + video understanding
Configurable temperature â fine-grained control over determinism
Adaptive thinking â reasoning on by default, splittable via
reasoning_split
Related projects
kimi-vision-mcp-server â Moonshot Kimi
doubao-vision-mcp-server â ByteDance Doubao
glm-vision-mcp-server â Zhipu GLM
qwen-vision-mcp-server â Alibaba Qwen
@kira4094/agnes-image-mcp-server â Agnes Image (text-to-image)
License
MIT
Maintenance
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