A
licenseA
qualityB
maintenanceAI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.
6
128 PyPI
3
MIT
MCP ComfyUI Flux
by dhofheinz
Related Servers
Alternatives to MCP ComfyUI Flux
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceProvides multi-model AI image generation via MCP tools, supporting Seedream, SDXL, and FLUX models with GPU acceleration.-
- AlicenseNot gradedqualityNot gradedmaintenanceEnables high-quality image generation with advanced text rendering and contextual understanding using FLUX.1 Kontext Max through the Replicate API. Supports text-to-image generation, image editing, multiple aspect ratios, and automatically downloads generated images locally.1-
- AlicenseAqualityDmaintenanceEnables comprehensive ComfyUI workflow automation including image generation, workflow management, node discovery, and system monitoring through natural language interactions with local or remote ComfyUI servers.3114MIT
- AlicenseNot gradedqualityDmaintenancePowerful image generation system leveraging multiple Stable Diffusion models (flux-schnell, flux-dev, sdxl, sd3, sd15) for creating high-quality AI-generated images with precise customization.19MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to generate images using local ComfyUI with FLUX.2 Klein models optimized for Apple Silicon, plus model management and system diagnostics.MIT
TDQS
A3.5/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: model checking, connection management, image generation, and two distinct post-processing operations. No overlap or ambiguity.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case, making them predictable and easy to understand.
Tool Count5/5
With 6 tools covering connection, model check, generation, and post-processing, the number is well-scoped for the server's purpose.
Completeness4/5
The tool set covers core workflows (connect, check, generate) and adds useful post-processing. Minor gap: only checks for one specific model; a general model listing could be useful.
Maintenance
ActivityInactive
ResponsivenessNo issues