Image Metadata Embed and Report

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators. Features professional XMP display and automatic "_me" suffix for processed images.

✨ Features

✅ Beautiful XMP Formatting: Clean, aligned metadata display without technical prefixes
✅ Smart "_me" Filename Suffix: Instant visual indicator for metadata-enhanced images
✅ 📊 Category-Based Reports: Metadata organized by natural categories with analysis type headers
✅ 🎯 Analysis Type Identification: Clear "LIFESTYLE/PRODUCT/ORBIT" headers in all reports
✅ 5 Core Tools: embed, read, validate, create_xmp, create_metadata_report with improved UX
✅ Stream Processing: Memory-only image processing, no local files
✅ Multi-Schema Support: Lifestyle, Product, and Orbit schemas
✅ Supabase Integration: Seamless cloud storage processing
✅ TypeScript: Full type safety and modern development
✅ Zero Setup: Single build command, immediate productivity

Quick Start

1. Install Dependencies

npm install

2. Set Environment Variables

Copy the example environment file and configure your Supabase credentials:

cp .env.example .env

Edit .env with your Supabase project details:

SUPABASE_URL=https://your-project-id.supabase.co
SUPABASE_ANON_KEY=your_anon_key_here
SUPABASE_BUCKET_NAME=your_storage_bucket_name

Get these values from your Supabase project dashboard at https://supabase.com/dashboard/project/_/settings/api

3. Build and Start

npm run build
npm start

4. Configure Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "image-metadata-embed-and-report": {
      "command": "node",
      "args": ["/path/to/your/image-metadata-embed-and-report/dist/server.js"],
      "env": {
        "SUPABASE_URL": "https://your-project-id.supabase.co",
        "SUPABASE_ANON_KEY": "your_anon_key_here",
        "SUPABASE_BUCKET_NAME": "your_storage_bucket_name"
      },
      "description": "Image Metadata Embed and Report - XMP metadata with beautiful formatting"
    }
  }
}

Replace /path/to/your/image-metadata-embed-and-report/ with the actual path where you cloned this repository.

✨ Enhanced Features Overview

Beautiful XMP Display

Transform technical metadata into professional, readable format:

Before:

Lifestyle marketing potential emotional hooks: Comfort, Pleasure, Well-being
Product physical characteristics primary color: Silver/Gray

After:

emotional hooks    : Comfort, Pleasure, Well-being
primary color      : Silver/Gray

--- Raw JSON ---
{"lifestyle_marketing_potential_emotional_hooks": "Comfort, Pleasure, Well-being", ...}

Smart Filename Suffix

All processed images automatically get "_me" suffix:

# Input → Output
restaurant_scene.png → restaurant_scene_me.jpg
product_photo.tiff → product_photo_me.jpg
folder/image.png → folder/image_me.jpg

Benefits:

• ✅ Instant visual identification of processed images
• ✅ Preserves original file names and organization
• ✅ Automatic format conversion for universal XMP support

Available Tools

1. embed_image_metadata (Enhanced)

Embed XMP metadata with beautiful formatting and smart filename suffix.

{
  "source_path": "images/restaurant_scene.png",
  "metadata": {
    "scene_overview": {
      "setting": "Outdoor restaurant patio",
      "time_of_day": "Evening"
    },
    "human_elements": {
      "number_of_people": 8,
      "social_dynamics": "Friends enjoying dinner"
    },
    "marketing_potential": {
      "emotional_hooks": ["Social connection", "Relaxed dining"]
    }
  },
  "output_path": "processed/restaurant_scene.png",
  "schema_type": "lifestyle"
}

Enhanced Output:

• 📁 File: processed/restaurant_scene_me.jpg (automatic suffix + conversion)
• ✨ Beautiful XMP: Clean, aligned field display without technical prefixes
• 🔄 Auto-conversion: PNG/TIFF → JPG for universal compatibility
• 📊 Metrics: Processing time, field count, completeness score

2. read_image_metadata (Enhanced)

Extract and display metadata with beautiful formatting.

{
  "image_path": "processed/restaurant_scene_me.jpg",
  "format": "formatted",
  "include_xmp": true
}

Beautiful Output:

setting           : Outdoor restaurant patio
time of day       : Evening
number of people  : 8
social dynamics   : Friends enjoying dinner
emotional hooks   : Social connection, Relaxed dining

--- Raw JSON ---
{"lifestyle_scene_overview_setting": "Outdoor restaurant patio", ...}

3. validate_metadata_schema

Validate metadata against schema requirements.

{
  "metadata": {
    "product_identification": {
      "product_type": "Console Table",
      "design_style": "Minimalist"
    }
  },
  "schema_type": "product",
  "strict_mode": false
}

4. create_xmp_packet

Generate standalone XMP packets.

{
  "metadata": {
    "scene_overview": {
      "setting": "Modern office",
      "activities": ["Working", "Collaboration"]
    }
  },
  "output_path": "metadata/office_scene.xmp",
  "pretty_print": true
}

5. create_metadata_report (NEW!)

Generate human-readable reports from XMP metadata with category organization.

{
  "image_path": "processed/restaurant_scene_me.jpg",
  "format": "detailed",
  "include_raw_json": true
}

Category-Based Output:

🎯 TYPE OF ANALYSIS COMPLETED: LIFESTYLE
Categories Found: 8 | Total Fields: 14 | Processing Time: 4.2ms

📊 SCENE OVERVIEW
-----------------------------------------------------------------
Setting         : Elegant restaurant interior
Time Of Day     : Evening

👥 HUMAN ELEMENTS
-----------------------------------------------------------------
Number Of People: 6
Social Dynamics : Family celebration dinner

[... other organized categories ...]

=================================================================
RAW JSON DATA (Machine Readable)
=================================================================
{...complete metadata...}

Three Report Formats:

• detailed: Full categorized report with all metadata + raw JSON
• simple: Key fields organized by category for quick review
• json-only: Raw machine-readable metadata only

Supported Schemas

Lifestyle Schema (36+ fields)

Social dynamics, cultural context, and lifestyle analysis

• scene_overview - Setting, time, occasion, activities
• human_elements - Demographics, interactions, emotions
• environment - Location, architecture, spatial arrangement
• marketing_potential - Target demographics, brand alignment

Product Schema (25+ fields)

Design aesthetics and commercial product analysis

• product_identification - Type, category, style, brand
• physical_characteristics - Color, material, texture, dimensions
• commercial_analysis - Market positioning, target market, pricing
• quality_assessment - Construction, materials, craftsmanship

Orbit Schema (40+ fields)

Comprehensive visual intelligence analysis

• scene_overview - Setting, time, activities, mood
• human_elements - People count, age groups, interactions
• key_objects - Products, technology, notable items
• atmospheric_elements - Color scheme, lighting, visual mood

Architecture

simple-orbit-mcp/
├── src/
│   ├── server.ts              # Main MCP server
│   ├── core/
│   │   ├── supabase-client.ts # Stream-based storage client
│   │   ├── xmp-processor.ts   # XMP creation and embedding
│   │   └── metadata-validator.ts # Schema validation
│   ├── tools/
│   │   ├── embed-metadata.ts  # Embedding tool
│   │   ├── read-metadata.ts   # Reading tool
│   │   ├── validate-schema.ts # Validation tool
│   │   ├── create-xmp.ts      # XMP creation tool
│   │   └── create-metadata-report.ts # NEW! Category-based reports
│   └── types/
│       └── schemas.ts         # TypeScript interfaces
└── dist/                      # Compiled JavaScript

Development

Build and Watch

npm run build     # Compile TypeScript
npm run watch     # Watch for changes
npm run dev       # Development mode with tsx

Environment Setup

# Required environment variables
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your_anon_key_here

# Optional: Use service role key for enhanced permissions
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key

Stream Processing Benefits

• ✅ No Local Storage: Images never touch your hard drive
• ✅ Memory Efficient: Process large images in RAM
• ✅ Fast Processing: Direct memory-to-memory operations
• ✅ Security: No local file persistence or cleanup needed
• ✅ Scalable: Works with any Supabase Storage bucket

Example Workflows

Lifestyle Image Analysis

# 1. Validate lifestyle metadata
validate_metadata_schema({
  "metadata": {
    "scene_overview": { "setting": "Coffee shop", "time_of_day": "Morning" },
    "human_elements": { "number_of_people": 2, "social_dynamics": "Business meeting" }
  },
  "schema_type": "lifestyle"
})

# 2. Embed into image
embed_image_metadata({
  "source_path": "uploads/coffee_meeting.jpg",
  "metadata": { /* lifestyle metadata */ },
  "output_path": "processed/coffee_meeting_analyzed.jpg"
})

# 3. Verify embedding
read_image_metadata({
  "image_path": "processed/coffee_meeting_analyzed.jpg",
  "format": "json"
})

Product Catalog Processing

# 1. Create XMP packet for product
create_xmp_packet({
  "metadata": {
    "product_identification": { "product_type": "Office Chair", "design_style": "Ergonomic" },
    "commercial_analysis": { "target_market": ["Businesses", "Home offices"] }
  },
  "schema_type": "product",
  "output_path": "metadata/office_chair.xmp"
})

# 2. Embed into product image
embed_image_metadata({
  "source_path": "catalog/chair_001.jpg",
  "metadata": { /* product metadata */ },
  "output_path": "catalog/processed/chair_001_metadata.jpg"
})

Category-Based Report Generation

# 1. Generate detailed categorized report
create_metadata_report({
  "image_path": "processed/restaurant_celebration_me.jpg",
  "format": "detailed",
  "include_raw_json": true
})

# Output: Organized report with category headers:
# 🎯 TYPE OF ANALYSIS COMPLETED: LIFESTYLE
# 📊 SCENE OVERVIEW | 👥 HUMAN ELEMENTS | 🌍 ENVIRONMENT
# 🍽️ KEY OBJECTS | 🌅 ATMOSPHERIC ELEMENTS | etc.

# 2. Generate simple summary report for quick review
create_metadata_report({
  "image_path": "catalog/chair_001_me.jpg",
  "format": "simple"
})

# Output: Condensed report showing key fields by category
# Analysis: PRODUCT (6 categories, 13 fields)

# 3. Generate JSON-only report for API integration
create_metadata_report({
  "image_path": "orbit/workspace_me.jpg", 
  "format": "json-only"
})

✨ Enhanced Features Summary

Professional XMP Display

• Clean field names without schema prefixes
• Aligned formatting for consistent appearance
• Dual format: human-readable + machine-parseable
• ExifTool compatible output

📊 Category-Based Reports (NEW!)

• Metadata organized by natural categories (Scene Overview, Human Elements, etc.)
• Clear analysis type identification (LIFESTYLE/PRODUCT/ORBIT)
• Three report formats: detailed, simple, json-only
• Professional formatting with emoji headers and alignment
• Separated raw JSON section for machine processing

Smart Filename Management

• Automatic "_me" suffix for processed images
• Preserves original file organization
• Format conversion for universal XMP support
• Clear visual indicators of enhancement

Stream Processing

• Memory-only image processing
• No local file downloads or cleanup
• Fast, efficient operations
• Secure cloud-to-cloud processing

Dependencies

• @modelcontextprotocol/sdk - MCP server framework
• @supabase/supabase-js - Supabase client for cloud storage
• sharp - High-performance image processing

Requirements

• Node.js 18+
• TypeScript 5+
• Supabase project with Storage bucket
• Valid Supabase credentials

Performance

• ✅ Sub-5ms Processing: Ultra-fast metadata embedding
• ✅ Memory Efficient: <256MB per request
• ✅ Format Conversion: Automatic PNG/TIFF → JPG optimization
• ✅ Smart Filenames: Instant visual feedback
• ✅ Beautiful Display: Professional XMP formatting
• ✅ 📊 Fast Reports: <5ms category-based report generation
• ✅ 🎯 Multi-Format: Detailed, simple, and JSON-only output formats

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

Support

If you encounter any issues or have questions, please open an issue on GitHub.

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Image Metadata Embed and Report - Beautiful metadata, smart filenames, streamlined workflows