MiMo Multimodal Understanding MCP Server

MCP server for Xiaomi MiMo multimodal understanding API (image, audio, video).

Features

• Image Understanding: Single/multiple images, URL and local file support
• Audio Understanding: Single/multiple audio, URL and local file support
• Video Understanding: Single/multiple video, URL and local file support, configurable fps and resolution

Setup

1. Install dependencies

uv sync

2. Configure API Key

Copy .env.example to .env and fill in your API key:

cp .env.example .env

Or set environment variable directly:

export MIMO_API_KEY=your_api_key_here

Get your API key from: https://platform.xiaomimimo.com

3. (Optional) Configure API Base URL

The default API endpoint is determined by your API key prefix:

Key Prefix	Default Endpoint
tp-*	https://token-plan-cn.xiaomimimo.com/v1
sk-* or others	https://api.xiaomimimo.com/v1

To use a different API endpoint:

export MIMO_API_BASE=https://your-custom-endpoint/v1

Or add it to your .env file:

MIMO_API_BASE=https://your-custom-endpoint/v1

Usage

Quick Start (with uvx)

export MIMO_API_KEY=your_api_key_here
uvx mimo-multimodal-mcp

Development mode (with MCP Inspector)

uv run mcp dev src/mimo_multimodal_mcp/server.py

Install to Claude Desktop

uv run mcp install src/mimo_multimodal_mcp/server.py

Direct execution

uv run python src/mimo_multimodal_mcp/server.py

Claude Desktop Configuration

Add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "mimo-multimodal": {
      "command": "uvx",
      "args": ["mimo-multimodal-mcp"],
      "env": {
        "MIMO_API_KEY": "your_api_key_here"
      }
    }
  }
}

Tools

understand_image

Analyze images using Xiaomi MiMo multimodal model.

Parameter	Type	Required	Description
prompt	string	Yes	Image understanding task description
image_url	string	No	Single image URL or data:image base64
image_path	string	No	Single local image file path
image_urls	list[string]	No	Multiple image URLs
image_paths	list[string]	No	Multiple local image file paths
system_prompt	string	No	Custom system prompt
max_tokens	integer	No	Max output length (default: 8192, max: 32768)

Supported formats: JPEG, PNG, GIF, WebP Size limit: 10MB

understand_audio

Analyze audio using Xiaomi MiMo multimodal model.

Parameter	Type	Required	Description
prompt	string	Yes	Audio understanding task description
audio_url	string	No	Single audio URL
audio_path	string	No	Single local audio file path
audio_urls	list[string]	No	Multiple audio URLs
audio_paths	list[string]	No	Multiple local audio file paths
system_prompt	string	No	Custom system prompt
max_tokens	integer	No	Max output length (default: 8192, max: 32768)

Supported formats: MP3, WAV, FLAC, M4A, OGG Size limit: URL 100MB, Base64 50MB

understand_video

Analyze video using Xiaomi MiMo multimodal model.

Parameter	Type	Required	Description
prompt	string	Yes	Video understanding task description
video_url	string	No	Single video URL
video_path	string	No	Single local video file path
video_urls	list[string]	No	Multiple video URLs
video_paths	list[string]	No	Multiple local video file paths
fps	float	No	Frames per second, range [0.1, 10], default: 2
media_resolution	string	No	Resolution: "default" or "max"
system_prompt	string	No	Custom system prompt
max_tokens	integer	No	Max output length (default: 8192, max: 32768)

Supported formats: MP4, MOV, AVI, WMV Size limit: URL 300MB, Base64 50MB

Examples

Image Understanding

# URL
await understand_image(prompt="Describe this image", image_url="https://example.com/image.jpg")

# Local file
await understand_image(prompt="What text is in this?", image_path="/path/to/screenshot.png")

# Multiple images
await understand_image(prompt="Compare these", image_urls=["url1", "url2"])

Audio Understanding

# URL
await understand_audio(prompt="Transcribe this audio", audio_url="https://example.com/audio.wav")

# Local file
await understand_audio(prompt="What is being said?", audio_path="/path/to/audio.mp3")

Video Understanding

# URL with default settings
await understand_video(prompt="Describe this video", video_url="https://example.com/video.mp4")

# URL with custom fps and resolution
await understand_video(
    prompt="Describe the action",
    video_url="https://example.com/video.mp4",
    fps=5.0,
    media_resolution="max"
)