F
licenseNot graded
qualityD
maintenanceA powerful Model Context Protocol (MCP) server for image processing, designed to empower AI models with advanced image manipulation capabilities.
-
Image Processing MCP Server
by duke0317
Related Servers
Alternatives to Image Processing MCP Server
No user-submitted related servers found.
Related Servers
- 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 gradedqualityCmaintenanceAn MCP server providing tools for image processing operations126 PyPI331PythonMIT
- FlicenseNot gradedqualityDmaintenanceA full-featured image processing MCP server for AI assistants, exposing ~55 tools across 11 categories for editing, layers, conversion, AI segmentation/cleanup/generation, design analysis, and screenshot-to-code.-
- AlicenseAqualityCmaintenanceLocal image processing MCP server providing background removal, stock media search, resize, format conversion, and collage creation.5MIT
- AlicenseAqualityAmaintenanceA comprehensive MCP server with 37 tools for PDF operations including reading, searching, creating, merging, splitting, watermarking, form filling, and more, built on open-source libraries.3764 npm2MIT
TDQS
B3/5.0
Scored across 39 tools
Disambiguation4/5
Most tools have distinct purposes targeting specific image processing operations like brightness adjustment, blur application, or format conversion, with clear boundaries. However, some overlap exists between similar filters (e.g., apply_blur vs. apply_gaussian_blur) and resizing operations (resize_image vs. batch_resize), which could cause minor confusion but descriptions help differentiate them.
Naming Consistency5/5
Tool names follow a highly consistent verb_noun pattern throughout, such as adjust_brightness, apply_blur, and create_collage. All tools use snake_case with descriptive verbs, making the set predictable and easy to parse, with no deviations in naming conventions.
Tool Count2/5
With 39 tools, the count is excessive for an image processing server, making it feel heavy and potentially overwhelming. While the domain is broad, many tools could be consolidated (e.g., multiple blur or adjustment tools), indicating poor scoping that may hinder usability.
Completeness5/5
The tool set provides comprehensive coverage for image processing, including loading, editing (adjustments, filters, transformations), creation (collages, GIFs), analysis (info, color extraction), and saving. There are no obvious gaps; it supports full lifecycle operations from input to output with utilities like performance stats.
Maintenance
ActivityInactive
ResponsivenessNo issues