A
licenseNot graded
qualityD
maintenanceLocal AI generation for images, audio, speech, and 3D models using open source models.
3
GPL 3.0
kokon
Related Servers
Alternatives to kokon
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients on a local network to generate and edit images with a self-hosted uncensored Qwen-Image-2.1 model over Streamable HTTP. Supports text-to-image at any aspect ratio, multi-image editing, transparent backgrounds, seamless textures with height and normal maps, 360 panoramas, upscaling, and watermark removal.101MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to generate and edit images locally on Apple silicon using FLUX.2 Klein models, fully offline, with tools for generation, editing, and listing available models.2MIT
- AlicenseNot gradedqualityCmaintenanceGenerate images with OpenAI gpt-image-2.5 (or any OpenAI-compatible relay) using your own API key: 1K-4K, quality up to max, reference images, mask inpainting and per-image cost tracking, plus a local web gallery that shows your agent's generations live.1MIT
postward-creative-mcpofficial
AlicenseBqualityBmaintenanceEnables AI assistants to generate images, videos, music, and voiceovers with your own provider keys, and edit video locally with ffmpeg — all on your machine with no account, watermark, or telemetry.35745 npmMIT- AlicenseAqualityBmaintenanceEnables image editing, remixing, and text-to-image generation using Qwen 2 models via RunAPI. Supports task polling and pricing checks.561 npmApache 2.0
TDQS
A3.7/5.0
Scored across 8 tools
Disambiguation4/5
Most tools have clearly distinct purposes (outpaint, inpaint, upscale, info, status), and descriptions clarify boundaries between inpainting and editing. However, edit_image vs edit_images differ by a single character while doing conceptually different things (single-image instruction edit vs multi-reference generation), which is a real misselection hazard.
Naming Consistency5/5
Every tool follows a consistent snake_case verb_noun pattern (generate_image, edit_image, outpaint_image, inpaint_image, upscale_image, get_image_info, get_generator_status). The convention is predictable throughout with no style mixing.
Tool Count5/5
Eight tools is well-scoped for an offline image generation/editing server; each operation (generate, edit, multi-ref compose, outpaint, inpaint, upscale, inspect, status) earns its place without redundancy.
Completeness4/5
The surface covers the full generation-to-post-processing lifecycle plus system status, which is strong for the domain. Minor gaps remain: no way to list, delete, or manage saved output files, which an agent may eventually need.
Maintenance
ActivityNo data
ResponsivenessWithin a week