Qwen Image MCP Server
Related Servers
Alternatives to Qwen Image MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables text-to-image generation using Alibaba Cloud's Qwen-Image models, supporting both synchronous and asynchronous modes with configurable parameters.4MIT
- AlicenseBqualityDmaintenanceEnables text-to-image generation through the ModelScope platform using the Qwen/Qwen-Image model. It supports customizable parameters such as negative prompts, resolution, and sampling steps within MCP-compatible clients.19 npm1MIT
- AlicenseAqualityAmaintenanceEnables image editing, remixing, and text-to-image generation using Qwen 2 models via RunAPI. Supports task polling and pricing checks.527 npmApache 2.0
- AlicenseCqualityCmaintenanceEnables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.12MIT
- AlicenseNot gradedqualityCmaintenanceEnables text-to-image and image-to-image generation through the ModelScope API-Inference, including LoRA model support and local image input. It also provides keyword-based ModelScope model search for finding diffusion models and LoRA libraries.MIT
- AlicenseAqualityCmaintenanceEnables AI image generation using Doubao Seedream models and video generation using Doubao Seedance models through Volcano Engine's API, supporting text-to-image, image-to-image, text-to-video, and task status queries.317 npm3MIT
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: generate_image creates images from text prompts, while edit_image modifies existing images using reference images and instructions. There is no overlap or ambiguity between them.
Both tools follow the exact same verb_noun pattern with clear, descriptive verbs: generate_image and edit_image. The naming is predictable and consistent.
Only two tools is on the thinner side, but they cover the two core capabilities of the Qwen image model (text-to-image and image-to-image editing). The server is narrowly scoped and each tool is essential, making the count reasonable for its purpose.
For the domain of image generation and editing, the server provides both fundamental operations. There are no obvious missing functions like image variation or upscaling, but the core workflows of generating from text and editing reference images are fully covered.