MCPInstall

minimax-image-understanding

by imsusMedia & Creative

Analyze images using AI with the understandimage tool

Installs
556
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads minimax-image-understanding automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

MiniMax Image Understanding Skill

Use this skill when you need to analyze, describe, or extract information from images.

How to Use

Call the understand_image tool directly with a prompt and image URL:

understand_image({
  prompt: "Your question about the image",
  image_url: "https://example.com/image.png"
})

When to Use

Use understand_image when:

  • Screenshots: Error messages, UI issues, code in screenshots
  • Visual content: Photos, diagrams, charts, graphs
  • Documents: Extracting text from images (OCR), understanding layouts
  • UI/UX analysis: Evaluating designs, identifying components
  • Visual debugging: Understanding visual bugs or layout issues

When NOT to Use

Do NOT use understand_image when:

  • Image is already described in the conversation
  • The image is a simple icon or emoji you recognize
  • No image is provided or the image URL is inaccessible
  • Redundant with existing context (e.g., file contents already visible)

Usage

understand_image({
  prompt: "What do you see in this image?",
  image_url: "https://example.com/screenshot.png"
})

API Details

Endpoint: POST {api_host}/v1/coding_plan/vlm

Request Body:

{
  "prompt": "Your question about the image",
  "image_url": "data:image/jpeg;base64,/9j/4AAQ..."
}

Response Format:

{
  "content": "AI analysis of the image...",
  "base_resp": {
    "status_code": 0,
    "status_msg": "success"
  }
}

Image Processing

The tool automatically handles three types of image inputs:

  1. HTTP/HTTPS URLs: Downloads the image and converts to base64

    • Example: https://example.com/image.jpg

  2. Local file paths: Reads local files and converts to base64

    • Absolute: /Users/username/Documents/image.png
    • Relative: images/photo.png
    • Removes @ prefix if present

  3. Base64 data URLs: Passes through existing base64 data

    • Example: data:image/png;base64,iVBORw0KGgo...

Image Formats

Supported:

  • JPEG (.jpg, .jpeg)
  • PNG (.png)
  • WebP (.webp)

Not supported:

  • PDF, GIF, PSD, SVG, and other formats

Crafting Effective Prompts

For Descriptions

  • "Describe what's in this image in detail"
  • "What is the main subject of this image?"
  • "Describe the visual style and composition"

For Code/Technical

  • "What code is shown in this screenshot?"
  • "Extract all text from this image"
  • "Identify the UI framework/components used"

For Analysis

  • "Analyze this UI design. What is working well and what could be improved?"
  • "What emotions or mood does this image convey?"
  • "Compare this design to Material Design principles"

For OCR/Text Extraction

  • "Extract all text from this image"
  • "Read the error message in this screenshot"
  • "What does the label say in this image?"

Examples

Error Analysis

understand_image({
  prompt: "What is the error message and where is it located in this screenshot?",
  image_url: "./error-screenshot.png"
})

Code Screenshot

understand_image({
  prompt: "What code is shown in this screenshot? Please transcribe it exactly.",
  image_url: "https://example.com/code.png"
})

Design Review

understand_image({
  prompt: "Analyze this UI design. What is working well and what could be improved?",
  image_url: "https://example.com/mockup.png"
})

OCR

understand_image({
  prompt: "Extract all text from this image",
  image_url: "/Users/username/Documents/scan.png"
})

Tips

  1. Be specific in your prompt about what you want to know
  2. Mention format if you need structured output (e.g., "list all elements")
  3. Include context if the image is part of a larger task
  4. For screenshots, specify if you need full-page or just a specific area
  5. Complex analysis may trigger a confirmation prompt (analyze, extract, describe, recognize, transcribe, read)

Error Handling

  • Status code 1004: Authentication error - check API key and region
  • Status code 2038: Real-name verification required
  • Invalid image: File doesn't exist or URL is inaccessible
  • Unsupported format: Image format not in JPEG, PNG, WebP

FAQ

What does the minimax-image-understanding skill do?

Analyze images using AI with the understandimage tool

How do I install minimax-image-understanding?

Run npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/minimax-image-understanding/ (personal) or .claude/skills/minimax-image-understanding/ (project).

Which AI agents can use minimax-image-understanding?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is minimax-image-understanding safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains minimax-image-understanding?

It is published by imsus in imsus/pi-extension-minimax-coding-plan-mcp. It has 556 recorded installs.

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