pedit
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- AlicenseBqualityBmaintenanceEnables AI agents to drive a full photo-editing engine through validated, non-destructive operations — exposure and colour grading, effects, geometry, text/watermarks, style matching from a reference image, natural-language looks, and batch processing over folders. Originals stay untouched, edits live in an open JSON project format, and everything runs locally without network access unless opted in.27Apache 2.0
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TDQS
Scored across 62 tools
Each tool targets a distinct resource or action, with clear separation between layer operations, effects, masks, canvas, AI, and project management. Overlaps are minimal and descriptions clarify usage (e.g., add_adjustment vs add_effect vs apply_look). Agents can reliably select the right tool.
Mostly consistent snake_case with verb_noun or verb patterns (add_image, set_layer, list_effects). A few noun phrases (project_info, ai_status) and single verbs (undo, flatten) deviate slightly but remain readable and predictable.
62 tools far exceed the typical 3-15 range and the 25+ threshold for 'too many', representing an extreme mismatch for a single MCP server despite the complex domain. The surface is overly broad and likely to overwhelm agents.
The tool set covers the full image editing lifecycle: project management, layers, effects, masks, canvas, AI features, export, and batch operations. Minor gaps like listing fonts or blend modes are negligible; core CRUD and advanced workflows are complete.