MiniMax Vision MCP Server

MCP server for MiniMax vision models — analyze images through the OpenAI-compatible POST /v1/chat/completions endpoint.

Features

• 🖼️ Analyze images — local files (png/jpg/jpeg/gif/webp/bmp) and remote HTTP(S) URLs

• 🧠 MiniMax-M3: image + video understanding, 1M context, adaptive thinking

• 🎛️ temperature fully configurable [0, 2] (unlike some providers that lock it)

• 💭 thinking flag → enables adaptive thinking + reasoning_split on M3

• ⚡ Zero non-MCP dependencies, one-line npx deploy

Related MCP server: z_ai_vision_mcp_server_clone

Requirements

• Node.js >= 18

• A MiniMax platform API key (账户管理 → 接口密钥)

Install & run

cd minimax-vision-mcp-server
npm install
npm start

Environment variables

Note: International users may use https://api.minimaxi.com/v1 as 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

Why MiniMax for vision?

• 1M context on M3 — analyze long documents alongside images

• Native image + video understanding

• Configurable temperature — fine-grained control over determinism

• Adaptive thinking — reasoning on by default, splittable via reasoning_split

Related projects

• kimi-vision-mcp-server — Moonshot Kimi

• doubao-vision-mcp-server — ByteDance Doubao

• glm-vision-mcp-server — Zhipu GLM

• qwen-vision-mcp-server — Alibaba Qwen

• @kira4094/agnes-image-mcp-server — Agnes Image (text-to-image)

License

MIT