A
licenseA
qualityC
maintenanceLocal image processing MCP server providing background removal, stock media search, resize, format conversion, and collage creation.
5
MIT
imagic-mcp
by sonic0002
Related Servers
Alternatives to imagic-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server providing tools for image processing operations155 PyPI330PythonMIT
- AlicenseCqualityCmaintenanceMCP server for local compression of various image formats18 npm34MIT
- FlicenseNot gradedqualityDmaintenanceA powerful Model Context Protocol (MCP) server for image processing, designed to empower AI models with advanced image manipulation capabilities.-
- AlicenseAqualityAmaintenanceA local MCP server that provides image processing tools including resizing, cropping, format conversion, compression, rotation, flipping, thumbnailing, watermarking, effects, placeholder generation, and overlaying.12MIT
- AlicenseNot gradedqualityAmaintenanceEnables local batch image preparation for the web via MCP, including compression, resizing, metadata stripping, thumbnails, and favicon generation.19 npmMIT
TDQS
A3.5/5.0
Scored across 5 tools
Disambiguation3/5
The tools have some clear distinctions but also notable overlap. Convert_and_resize and resize_image both handle resizing, while convert_and_resize and convert_image both handle format conversion, creating potential confusion about when to use each. However, the descriptions help clarify that convert_and_resize combines both operations, and process_folder is distinct as a batch processor.
Naming Consistency5/5
All tool names follow a consistent snake_case pattern with clear verb_noun or verb_noun_noun structures (e.g., convert_and_resize, merge_images, process_folder). This predictability makes the set easy to scan and understand at a glance.
Tool Count5/5
With 5 tools, this server is well-scoped for image processing tasks. Each tool serves a distinct purpose (conversion, resizing, merging, batch processing, and a combined operation), and the count feels appropriate without being overwhelming or insufficient for the domain.
Completeness4/5
The toolset covers core image operations well, including format conversion, resizing, merging, and batch processing. A minor gap is the lack of tools for more advanced manipulations like cropping, filtering, or metadata editing, but the provided tools support common workflows effectively.
Maintenance
ActivityInactive
ResponsivenessNo issues