MiniMax MCP

Name: MiniMax MCP
Author: MiniMax

Text-to-speech, image, and video generation APIs

Official

AI & ML

Install Command

npx -y minimax-mcp

Claude Desktop Config

{
  "mcpServers": {
    "minimax": {
      "command": "npx",
      "args": ["-y", "minimax-mcp"],
      "env": { "MINIMAX_API_KEY": "<KEY>", "MINIMAX_MCP_BASE_URL": "https://api.minimaxi.chat" }
    }
  }
}

MiniMax MCP is an officially maintained MCP server in the AI & ML category, developed by MiniMax. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About MiniMax MCP

Official MiniMax MCP server provides AI assistants with access to MiniMax's generative AI APIs.

Features

Text-to-speech with multiple voice options
AI image generation
Video generation from text prompts
Voice cloning capabilities
Multilingual support (50+ languages)
Batch generation support

Who Should Use MiniMax MCP?

1Analyse and describe images as part of your AI workflow
2Chain AI models and pipelines through a unified MCP interface
3Let Claude orchestrate other AI tools and models
4Integrate embeddings, image generation, or speech APIs into your workflow

How to Install MiniMax MCP

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.

How MiniMax MCP Compares

✦It is an officially maintained server — unlike community alternatives, it is built and supported by the original project team, ensuring compatibility with upstream changes.

✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.

✦Authentication uses API keys, giving you fine-grained control over access without requiring a full OAuth setup.