A
licenseA
qualityD
maintenanceAn MCP server for AI-powered image generation, editing, and video generation using Google Gemini and Veo models.
10
127 npm
4
MIT
PixelForge MCP
by Tehnolabs
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TDQS
B3.2/5.0
Scored across 19 tools
Disambiguation4/5
Most tools have clearly distinct purposes: generate_image vs batch_generate, analyze_image vs detect_objects vs extract_text, and transform_image vs upscale_image are well differentiated. Some mild overlap remains between edit_image and advanced_edit, and between list_available_models and get_server_info, though descriptions provide enough guidance.
Naming Consistency4/5
All tool names use snake_case, which is consistent throughout. Most follow a verb_noun pattern, but a few are adjective/noun-first or otherwise nonstandard, such as advanced_edit and batch_generate, keeping it from being perfectly predictable.
Tool Count4/5
Nineteen tools is slightly above the ideal range, but the server covers a broad image platform spanning generation, editing, analysis, utilities, prompt assistance, cost estimation, and history. The count is defensible overall, though the surface is on the heavy side.
Completeness4/5
The server covers the core image lifecycle well: generation, batching, editing, upscaling, Pillow transforms, background removal, analysis, OCR, object detection, comparison, prompt templates, cost estimation, and history. Minor gaps exist around template/history management, such as no create/delete template or delete history operations.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive