Image Analysis MCP Server
Provides Claude with detailed image inspection capabilities, including metadata extraction, histogram analysis, tonal and color analysis, sharpness detection, and more, supporting both standard and RAW formats.
README
Image Analysis MCP Server
A comprehensive read-only image analysis MCP (Model Context Protocol) server that provides Claude with detailed image inspection capabilities.
Features
- Metadata & EXIF Extraction: Camera settings, GPS, timestamps, and more
- Histogram Analysis: RGB and luminance histograms with statistics
- Tonal Analysis: Shadows, midtones, highlights, dynamic range, and clipping detection
- Color Analysis: Dominant colors, color temperature, saturation, and color cast detection
- Spatial Properties: Sharpness scoring, noise estimation, edge density, and blur detection
- Frequency Analysis: FFT-based detail level assessment (optional)
- Preview Generation: Base64-encoded preview images (optional)
Supported Formats
Standard Formats
- JPEG (.jpg, .jpeg)
- PNG (.png)
- TIFF (.tif, .tiff)
- WebP (.webp)
RAW Formats
- Canon RAW (.cr2, .cr3)
- Nikon RAW (.nef)
- Sony RAW (.arw)
- Adobe DNG (.dng)
- Fuji RAW (.raf)
- Olympus RAW (.orf)
Installation
Option 1: Docker (Recommended)
The easiest way to get started - no Python setup required!
# Build the Docker image
cd image_analysis
docker build -t image-analysis-mcp:latest .
# Test it works
docker run --rm image-analysis-mcp:latest python -c "import image_analysis_mcp; print('✓ OK')"
See DOCKER.md for complete Docker documentation.
Option 2: Poetry
# Prerequisites: Python 3.12+, Poetry
cd image_analysis
# Install dependencies
poetry install
# Activate the virtual environment
poetry shell
Option 3: pip
# Prerequisites: Python 3.12+
cd image_analysis
# Install the package
pip install -e .
Usage
Running the MCP Server
The server can be run directly:
# Using Poetry
poetry run image-analysis-mcp
# Or if in activated virtual environment
image-analysis-mcp
Configuration for Claude Desktop
Add to your Claude Desktop configuration file (claude_desktop_config.json):
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
Using Docker (Recommended)
{
"mcpServers": {
"image-analysis": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v",
"/path/to/your/images:/images:ro",
"image-analysis-mcp:latest"
]
}
}
}
Then reference images as /images/photo.jpg in Claude.
Using Poetry
{
"mcpServers": {
"image-analysis": {
"command": "poetry",
"args": ["run", "image-analysis-mcp"],
"cwd": "/absolute/path/to/image_analysis"
}
}
}
Using pip (Global Install)
{
"mcpServers": {
"image-analysis": {
"command": "image-analysis-mcp"
}
}
}
Available Tools
1. get_metadata
Fast metadata and EXIF extraction without loading full image data.
Parameters:
filepath(str): Path to image file
Example:
What camera was used for IMG_1234.CR2?
2. get_histogram
Extract RGB and luminance histograms with channel statistics.
Parameters:
filepath(str): Path to image fileprocess_raw(bool, optional): Process RAW files (default: True)
Example:
Show me the histogram for landscape.jpg
3. analyze_image
Comprehensive image analysis including all properties.
Parameters:
filepath(str): Path to image fileinclude_frequency(bool, optional): Include FFT analysis (default: False)include_preview(bool, optional): Generate preview image (default: False)preview_max_dimension(int, optional): Preview max size (default: 1920)preview_format(str, optional): "JPEG", "PNG", or "WEBP" (default: "JPEG")preview_quality(int, optional): Quality 1-100 (default: 85)process_raw(bool, optional): Process RAW files (default: True)
Example:
Analyze photo.jpg and tell me if it's sharp enough for printing
Analyze this RAW file and show me a preview
Architecture
This server follows a fully stateless architecture:
- Each tool call is independent
- Images are loaded, analyzed, and immediately discarded
- No caching or session state
- Predictable and reproducible results
Performance
Typical performance on modern hardware:
| Operation | 2MP Image | 12MP Image | 50MP Image |
|---|---|---|---|
get_metadata |
10ms | 15ms | 25ms |
get_histogram |
50ms | 150ms | 600ms |
analyze_image |
200ms | 800ms | 3000ms |
analyze_image (with preview) |
300ms | 1100ms | 4000ms |
analyze_image (with FFT) |
500ms | 2000ms | 8000ms |
Example Conversations
Check Image Quality
User: Is wedding_photo.jpg sharp enough for a large print?
Claude: [Uses analyze_image to check sharpness, noise, and resolution]
Exposure Analysis
User: Is this sunset photo overexposed?
Claude: [Uses analyze_image to check histogram and clipping]
Color Analysis
User: What are the dominant colors in this landscape?
Claude: [Uses analyze_image to extract dominant colors and temperature]
Metadata Extraction
User: What camera settings were used for IMG_5678.NEF?
Claude: [Uses get_metadata to extract EXIF data]
Error Handling
The server provides clear error messages:
FILE_NOT_FOUND: File doesn't existPERMISSION_DENIED: Cannot read fileUNSUPPORTED_FORMAT: Format not supportedCORRUPTED_FILE: File is corruptedOUT_OF_MEMORY: Image too largeINVALID_PARAMETER: Bad parameter valueRAW_PROCESSING_FAILED: RAW conversion failed
Development
Running Tests
poetry run pytest
Code Formatting
poetry run black src/
Type Checking
poetry run mypy src/
License
This project is provided as-is for use with Claude Desktop and MCP.
Author
Jim Dasher
Version
1.0.0 - October 28, 2025
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