A
licenseA
qualityC
maintenanceMCP server for generating and editing images and videos via DashScope/OpenAI-compatible APIs, with tools for text-to-image, image editing, text/video generation, and automatic local download.
5
MIT
dsh-vision-dashscope
by ywleeo
Related Servers
Alternatives to dsh-vision-dashscope
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMCP server for generating images and videos using Volcengine's Jimeng APIs, supporting text-to-image, image-to-image, multi-image fusion, text-to-video, and image-to-video.31MIT
- AlicenseAqualityCmaintenanceA local MCP server that uses DashScope vision models to recognize local or remote images and returns image content in XML format to help AI understand images.148 npmMIT
- AlicenseAqualityDmaintenanceMCP server for AI-powered media generation: images, videos, audio, and upscaling using 99 AI models.6MIT
- FlicenseNot gradedqualityBmaintenanceMCP server enabling AI agents to generate AI videos and images, analyze video content, and download videos from Douyin and Xiaohongshu.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server for generating images and videos via external multimodal models, providing unified tools like imageGenerate, videoGenerate, and materialWrite with support for normal and smart generation modes.-
TDQS
A4/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct modality and action: recognize_image/video/audio are clearly separate input types, while generate_image/video/video_from_image are distinct generation tasks. dashscope_status is the only non-media utility, so there is no real ambiguity.
Naming Consistency4/5
The recognize_* and generate_* groups follow a consistent verb_noun underscore pattern. dashscope_status is the only outlier since it uses a noun-style name rather than verb_noun, but the overall convention is still predictable and readable.
Tool Count5/5
Seven tools is well-scoped for a vision/media DashScope server. Each tool covers a meaningful capability without redundant or excessive surface area.
Completeness5/5
The tool set covers both major media understanding paths (image, video, audio) and generation paths (image, video, image-to-video). The status tool fills the configuration/inspection need, and there are no obvious dead ends for the stated domain.
Maintenance
ActivityMaintained
ResponsivenessNo issues