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Mmx Cli

OrganizationPopular
MiniMax-AI
mmx-cli

Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.

Overview

PublisherMiniMax-AI
Repositoryskills
Skill namemmx-cli
Stars
13.6K
Forks
1.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MiniMax-AI on GitHub. Read the source before you install it.

Installation

Install the Mmx Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MiniMax-AI/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/minimax-multimodal-toolkit .claude/skills/mmx-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mmx Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mmx Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mmx Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MiniMax CLI — Agent Skill Guide

Use mmx to generate text, images, video, speech, music, and perform web search via the MiniMax AI platform.

Prerequisites

bash
# Install
npm install -g mmx-cli

# Auth (persisted to ~/.mmx/credentials.json)
mmx auth login --api-key sk-xxxxx

# Or pass per-call
mmx text chat --api-key sk-xxxxx --message "Hello"

Region is auto-detected. Override with --region global or --region cn.


Agent Flags

Always use these flags in non-interactive (agent/CI) contexts:

FlagPurpose
--non-interactiveFail fast on missing args instead of prompting
--quietSuppress spinners/progress; stdout is pure data
--output jsonMachine-readable JSON output
--asyncReturn task ID immediately (video generation)
--dry-runPreview the API request without executing
--yesSkip confirmation prompts

Commands

text chat

Chat completion. Default model: MiniMax-M2.7.

bash
mmx text chat --message <text> [flags]
FlagTypeDescription
--message <text>string, required, repeatableMessage text. Prefix with role: to set role (e.g. "system:You are helpful", "user:Hello")
--messages-file <path>stringJSON file with messages array. Use - for stdin
--system <text>stringSystem prompt
--model <model>stringModel ID (default: MiniMax-M2.7)
--max-tokens <n>numberMax tokens (default: 4096)
--temperature <n>numberSampling temperature (0.0, 1.0]
--top-p <n>numberNucleus sampling threshold
--streambooleanStream tokens (default: on in TTY)
--tool <json-or-path>string, repeatableTool definition JSON or file path
bash
# Single message
mmx text chat --message "user:What is MiniMax?" --output json --quiet

# Multi-turn
mmx text chat \
  --system "You are a coding assistant." \
  --message "user:Write fizzbuzz in Python" \
  --output json

# From file
cat conversation.json | mmx text chat --messages-file - --output json

stdout: response text (text mode) or full response object (json mode).


image generate

Generate images. Model: image-01.

bash
mmx image generate --prompt <text> [flags]
FlagTypeDescription
--prompt <text>string, requiredImage description
--aspect-ratio <ratio>stringe.g. 16:9, 1:1
--n <count>numberNumber of images (default: 1)
--subject-ref <params>stringSubject reference: type=character,image=path-or-url
--out-dir <dir>stringDownload images to directory
--out-prefix <prefix>stringFilename prefix (default: image)
bash
mmx image generate --prompt "A cat in a spacesuit" --output json --quiet
# stdout: image URLs (one per line in quiet mode)

mmx image generate --prompt "Logo" --n 3 --out-dir ./gen/ --quiet
# stdout: saved file paths (one per line)

video generate

Generate video. Default model: MiniMax-Hailuo-2.3. This is an async task — by default it polls until completion.

bash
mmx video generate --prompt <text> [flags]
FlagTypeDescription
--prompt <text>string, requiredVideo description
--model <model>stringMiniMax-Hailuo-2.3 (default) or MiniMax-Hailuo-2.3-Fast
--first-frame <path-or-url>stringFirst frame image
--callback-url <url>stringWebhook URL for completion
--download <path>stringSave video to specific file
--asyncbooleanReturn task ID immediately
--no-waitbooleanSame as --async
--poll-interval <seconds>numberPolling interval (default: 5)
bash
# Non-blocking: get task ID
mmx video generate --prompt "A robot." --async --quiet
# stdout: {"taskId":"..."}

# Blocking: wait and get file path
mmx video generate --prompt "Ocean waves." --download ocean.mp4 --quiet
# stdout: ocean.mp4

video task get

Query status of a video generation task.

bash
mmx video task get --task-id <id> [--output json]

video download

Download a completed video by task ID.

bash
mmx video download --file-id <id> [--out <path>]

speech synthesize

Text-to-speech. Default model: speech-2.8-hd. Max 10k chars.

bash
mmx speech synthesize --text <text> [flags]
FlagTypeDescription
--text <text>stringText to synthesize
--text-file <path>stringRead text from file. Use - for stdin
--model <model>stringspeech-2.8-hd (default), speech-2.6, speech-02
--voice <id>stringVoice ID (default: English_expressive_narrator)
--speed <n>numberSpeed multiplier
--volume <n>numberVolume level
--pitch <n>numberPitch adjustment
--format <fmt>stringAudio format (default: mp3)
--sample-rate <hz>numberSample rate (default: 32000)
--bitrate <bps>numberBitrate (default: 128000)
--channels <n>numberAudio channels (default: 1)
--language <code>stringLanguage boost
--subtitlesbooleanInclude subtitle timing data
--pronunciation <from/to>string, repeatableCustom pronunciation
--sound-effect <effect>stringAdd sound effect
--out <path>stringSave audio to file
--streambooleanStream raw audio to stdout
bash
mmx speech synthesize --text "Hello world" --out hello.mp3 --quiet
# stdout: hello.mp3

echo "Breaking news." | mmx speech synthesize --text-file - --out news.mp3

music generate

Generate music. Model: music-2.5. Responds well to rich, structured descriptions.

bash
mmx music generate --prompt <text> [--lyrics <text>] [flags]
FlagTypeDescription
--prompt <text>stringMusic style description (can be detailed)
--lyrics <text>stringSong lyrics with structure tags. Use "\u65e0\u6b4c\u8bcd" for instrumental. Cannot be used with --instrumental
--lyrics-file <path>stringRead lyrics from file. Use - for stdin
--vocals <text>stringVocal style, e.g. "warm male baritone", "bright female soprano", "duet with harmonies"
--genre <text>stringMusic genre, e.g. folk, pop, jazz
--mood <text>stringMood or emotion, e.g. warm, melancholic, uplifting
--instruments <text>stringInstruments to feature, e.g. "acoustic guitar, piano"
--tempo <text>stringTempo description, e.g. fast, slow, moderate
--bpm <number>numberExact tempo in beats per minute
--key <text>stringMusical key, e.g. C major, A minor, G sharp
--avoid <text>stringElements to avoid in the generated music
--use-case <text>stringUse case context, e.g. "background music for video", "theme song"
--structure <text>stringSong structure, e.g. "verse-chorus-verse-bridge-chorus"
--references <text>stringReference tracks or artists, e.g. "similar to Ed Sheeran"
--extra <text>stringAdditional fine-grained requirements
--instrumentalbooleanGenerate instrumental music (no vocals). Cannot be used with --lyrics or --lyrics-file
--aigc-watermarkbooleanEmbed AI-generated content watermark
--format <fmt>stringAudio format (default: mp3)
--sample-rate <hz>numberSample rate (default: 44100)
--bitrate <bps>numberBitrate (default: 256000)
--out <path>stringSave audio to file
--streambooleanStream raw audio to stdout

At least one of --prompt or --lyrics is required.

bash
# Simple usage
mmx music generate --prompt "Upbeat pop" --lyrics "La la la..." --out song.mp3 --quiet

# Detailed prompt with vocal characteristics
mmx music generate --prompt "Warm morning folk" \
  --vocals "male and female duet, harmonies in chorus" \
  --instruments "acoustic guitar, piano" \
  --bpm 95 \
  --lyrics-file song.txt \
  --out duet.mp3

# Instrumental (use --instrumental flag)
mmx music generate --prompt "Cinematic orchestral, building tension" --instrumental --out bgm.mp3

vision describe

Image understanding via VLM. Provide either --image or --file-id, not both.

bash
mmx vision describe (--image <path-or-url> | --file-id <id>) [flags]
FlagTypeDescription
--image <path-or-url>stringLocal path or URL (auto base64-encoded)
--file-id <id>stringPre-uploaded file ID (skips base64)
--prompt <text>stringQuestion about the image (default: "Describe the image.")
bash
mmx vision describe --image photo.jpg --prompt "What breed?" --output json

stdout: description text (text mode) or full response (json mode).


search query

Web search via MiniMax.

bash
mmx search query --q <query>
FlagTypeDescription
--q <query>string, requiredSearch query
bash
mmx search query --q "MiniMax AI" --output json --quiet

quota show

Display Token Plan usage and remaining quotas.

bash
mmx quota show [--output json]

Tool Schema Export

Export all commands as Anthropic/OpenAI-compatible JSON tool schemas:

bash
# All tool-worthy commands (excludes auth/config/update)
mmx config export-schema

# Single command
mmx config export-schema --command "video generate"

Use this to dynamically register mmx commands as tools in your agent framework.


Exit Codes

CodeMeaning
0Success
1General error
2Usage error (bad flags, missing args)
3Authentication error
4Quota exceeded
5Timeout
10Content filter triggered

Piping Patterns

bash
# stdout is always clean data — safe to pipe
mmx text chat --message "Hi" --output json | jq '.content'

# stderr has progress/spinners — discard if needed
mmx video generate --prompt "Waves" 2>/dev/null

# Chain: generate image → describe it
URL=$(mmx image generate --prompt "A sunset" --quiet)
mmx vision describe --image "$URL" --quiet

# Async video workflow
TASK=$(mmx video generate --prompt "A robot" --async --quiet | jq -r '.taskId')
mmx video task get --task-id "$TASK" --output json
mmx video download --task-id "$TASK" --out robot.mp4

Configuration Precedence

CLI flags → environment variables → ~/.mmx/config.json → defaults.

bash
# Persistent config
mmx config set --key region --value cn
mmx config show

# Environment
export MINIMAX_API_KEY=sk-xxxxx
export MINIMAX_REGION=cn

Frequently asked questions

What does the Mmx Cli AI skill do?

Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.

Why use Mmx Cli on TypingMind?

Because you install it once and use it with any model. Mmx Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mmx Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MiniMax-AI/skills/tree/main/skills/minimax-multimodal-toolkit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mmx Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mmx Cli?

As many as you like. As long as a model supports skills, you can use Mmx Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mmx Cli AI skill free?

Yes. It is published on GitHub by MiniMax-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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