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"
)
Metadata
Release files for mimo-multimodal-mcp 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mimo_multimodal_mcp-0.6.1.tar.gz | 76.6 kB | With provenance | Details for mimo_multimodal_mcp-0.6.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mimo_multimodal_mcp-0.6.1-py3-none-any.whl | Python 3 | none | any | Details for mimo_multimodal_mcp-0.6.1-py3-none-any.whl |
Total release size: 85.0 kB
Release files / mimo_multimodal_mcp-0.6.1.tar.gz
| Download URL | mimo_multimodal_mcp-0.6.1.tar.gz |
|---|---|
| Size | 76.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bd945550b16a29412b685d2baae65ae8c40799be3f1bb2c0193b1640a547788b
|
|
BLAKE2b-256 checksum How to use checksums |
392fda5ac39daeca35f3685008957f682959db0d8e962744a09cb53ab081abb7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 22, 2026.
Transparency logRelease files / mimo_multimodal_mcp-0.6.1-py3-none-any.whl
| Download URL | mimo_multimodal_mcp-0.6.1-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
80af6ba5ee551be3341b55b83bbd918c6710459dead825f7606bf18a850fe909
|
|
BLAKE2b-256 checksum How to use checksums |
23460b29a17900f742e14148d76d69b107776427940c46af2db7706bd8a3f4f6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 22, 2026.
Transparency logSecurity for mimo-multimodal-mcp 0.6.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for mimo_multimodal_mcp-0.6.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 22, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.