>sdcraft-mcp
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- AlicenseAqualityBmaintenanceExposes a local Forge or AUTOMATIC1111 SDXL backend as typed image-generation tools, enabling any MCP client to generate and edit images through a deterministic, stateless interface with server-enforced SFW content.3Mozilla Public 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI image generation from text prompts by wrapping local ComfyUI as a Streamable HTTP MCP server, supporting synchronous generation, queue management, and history tracking.1MIT
- AlicenseAqualityCmaintenanceEnables AI agents to interact with a Stable Diffusion REST API for image generation, inpainting, model management, and merging.18GPL 3.0
- AlicenseAqualityCmaintenanceEnables standard stdio MCP hosts to drive a local ComfyUI installation for prompt-based image generation, task status/result retrieval, environment inspection, and VRAM release.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to generate and manage bulk AI images locally through the app's engine, including batches, reference images, LoRAs, upscaling, and OpenAI-compatible API operations. It connects MCP clients such as Claude Code, Codex, Antigravity, and Hermes to a self-hosted Windows image-generation workflow without cloud accounts.MIT
- 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.3147 PyPI14MIT
TDQS
Scored across 13 tools
Generation verbs (generate/edit/upscale) and job tools (get/cancel/list) are clearly distinct. The only mild overlaps are capabilities vs list_profiles vs server_status, and start vs restart, but descriptions resolve them.
Most tools follow verb_noun (stop_server, get_job, generate_image, set_profile), with a few noun-first outliers (server_status, capabilities) and inconsistent verb+object for upscale_image vs edit_image. Readable and mostly predictable.
13 tools is well-scoped for a local SD server wrapper, covering lifecycle, jobs, and generation without redundancy. Each tool earns its place.
Covers server lifecycle, profiles, capabilities, job management, and image generation/editing/upscaling. Minor gaps like job cleanup/deletion or explicit model listing beyond profiles, but core workflows are complete.