Skip to content

mmxomni

Model Context Protocol server exposing MiniMax image, TTS, music, and video generation endpoints as MCP tools.

build.protocol_tooling.mcp#mcp#model-context-protocol#minimax#image-generation#tts#music-generation#video-generation#ai-tools

Install mmxomni in your MCP client

mmxomni is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add mmxomni to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; mmxomni's tools should appear.
{
  "mcpServers": {
    "mmxomni": {
      "command": "npx",
      "args": [
        "-y",
        "mmxomni"
      ]
    }
  }
}

Install mmxomni in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. mmxomni will show up in the assistant's tool list on next launch.

Install mmxomni in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). mmxomni will show up in the assistant's tool list on next launch.

Install mmxomni in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). mmxomni will show up in the assistant's tool list on next launch.

Install mmxomni in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. mmxomni will show up in the assistant's tool list on next launch.

npm package: mmxomni

Transport

mmxomni supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

stdio

From the mmxomni README

# mmxomni **Model Context Protocol server for MiniMax media APIs.** Expose image generation, text-to-speech, music, and video generation from [MiniMax](https://platform.minimax.io) as MCP tools. Works with any MCP-aware host: Open WebUI, Claude Desktop, Cursor, and more. ## Quick Start ```bash # Run directly without installing MINIMAX_API_KEY=sk-... npx mmxomni # Or install globally npm i -g mmxomni MINIMAX_API_KEY=sk-... mmxomni ``` The server starts an MCP stdio transport. Your host spawns it and communicates over stdin/stdout — you do not run it interactively. See **Installation** below for copy-pasteable JSON blocks for your host. ## Authentication **mmxomni** uses the same credential precedence as `mmx-cli`, so existing users have nothing to reconfigure: | Priority | Source |

Other Model Context Protocol servers in the same space as mmxomni. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.