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kira4094

MiniMax Vision MCP Server

by kira4094

MiniMax Vision MCP Server

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

Features

  • đŸ–ŧī¸ Analyze images — local files (png/jpg/jpeg/gif/webp/bmp) and remote HTTP(S) URLs

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

  • đŸŽ›ī¸ 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: imagine-mcp

Requirements

  • Node.js >= 18

  • A MiniMax platform API key (č´ĻæˆˇįŽĄį† → æŽĨåŖå¯†é’Ĩ)

Install & run

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

Environment variables

Variable

Required

Default

Description

MINIMAX_API_KEY

✅

—

Your MiniMax API key.

MINIMAX_MODEL

MiniMax-M3

Model: MiniMax-M3, MiniMax-M2.7, MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2.5-highspeed, MiniMax-M2.1, MiniMax-M2.1-highspeed, MiniMax-M2.

MINIMAX_BASE_URL

https://api.minimax.chat/v1

Override endpoint (for proxies).

MINIMAX_MAX_TOKENS

8192

Default max output tokens. M3 supports up to 524288.

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

Parameter

Type

Required

Description

image

string

✅

Local image path or remote HTTP(S) URL.

prompt

string

✅

What to ask about the image.

max_tokens

number

Max output tokens. Default 8192.

temperature

number

0-2, default 1.

thinking

bool

Enable adaptive thinking + reasoning split (M3). M2.x always think; ignored there.

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

License

MIT

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maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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  • MCP server for Flux AI image generation

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