imagesorcery-mcp and image-worker-mcp

These are complementary tools: Image Sorcery provides general-purpose image processing operations while Image Worker MCP specializes in cloud storage integration, making them suitable for use together in workflows requiring both manipulation and persistent cloud deployment.

imagesorcery-mcp
55
Established
image-worker-mcp
47
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 24/25
Community 19/25
Maintenance 2/25
Adoption 6/25
Maturity 24/25
Community 15/25
Stars: 292
Forks: 45
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 18
Forks: 4
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stale 6m
Stale 6m

About imagesorcery-mcp

sunriseapps/imagesorcery-mcp

An MCP server providing tools for image processing operations

This tool helps creative professionals, marketers, and anyone working with images to quickly modify or analyze them using natural language commands. You provide local image files and descriptive text instructions to an AI assistant, and the tool performs operations like cropping, resizing, object detection, or text extraction, returning the modified images or extracted information.

digital-asset-management content-creation visual-marketing document-processing graphic-design

About image-worker-mcp

BoomLinkAi/image-worker-mcp

Effortlessly resize, convert, optimize, and transform images with a single MCP server—then upload them directly to S3, Cloudflare R2, or Google Cloud Storage. Ideal for AI workflows, automation scripts, and developers who want seamless image handling in one tool.

This tool helps developers and automation engineers streamline image processing tasks. You provide images (from file paths, URLs, or base64) and specify transformations like resizing, format conversion, or optimization. The tool processes these images and can then upload them directly to cloud storage services like AWS S3, Cloudflare R2, or Google Cloud Storage.

AI-workflow-automation image-asset-management cloud-storage-integration developer-tooling backend-services

Scores updated daily from GitHub, PyPI, and npm data. How scores work