Firefly MCP Server
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- AlicenseNot gradedqualityCmaintenanceEnables external AI agents to programmatically inspect, edit, and export image documents through tools for layers, selections, painting, adjustments, masks, history, and compositing.MIT
- AlicenseAqualityDmaintenanceEnables AI image generation and editing using Google's Gemini models via natural language, supporting multi-turn editing, search grounding, storyboards, icon sets, and video-to-image.514 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible clients to generate and upscale AI images, videos, music, and sound effects, manage generation jobs, access model catalogs, and track credits.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables image and video generation and editing through MCP tools, including image editing, upscaling, background removal, video generation, image-to-video, and video extension. Video generation runs asynchronously with job status and result retrieval.MIT
- AlicenseAqualityCmaintenanceEnables generating images, video, and audio through a single capability-oriented interface, with server-side routing, safety screening, job lifecycle management, concurrency limits, and retention.5MIT
- FlicenseCqualityBmaintenanceEnables AI agents and clients to discover and use 75 V5 design-automation tools for templates, images, animations, media jobs, workflows, assets, publications, webhooks, and Instant URLs, with explicit mutation approval, local previews, and isolated private workspace profiles.75-
TDQS
Scored across 14 tools
Most tools map to distinct Firefly operations, but generate_image and generate_image5 both 'Generate images', and the three composite tools (generate_object_composite, precise_composite, adaptive_composite) have terse, near-parallel descriptions. An agent may need to infer distinctions from names or external knowledge.
All tool names use snake_case, which is consistent. However, prefixes are mixed: many are verb-led (generate_, upload_, verify_, get_, list_), while others are adjective-led (generative_, precise_, adaptive_), and generate_image5 carries a version suffix.
14 tools is within a reasonable range for a media-generation server covering image, video, compositing, upload, credentials, and job utilities. The count is well-scoped and does not appear padded or severely under-provisioned.
Core generation, editing, compositing, upload, and async job status operations are covered. Minor gaps remain, such as read-only custom models and no obvious job cancel/list/download lifecycle tools beyond get_job_status.