一个 Model Context Protocol 服务器,提供阿里云百炼平台的图像生成和编辑功能。该服务器使LLM能够调用阿里云百炼API来生成、编辑图像,支持多种图像分辨率、多模型选择(Qwen, Z-Image, Wan系列)和自定义参数。 最新功能: - 全异步架构:完美适配 MCP SSE 协议,不会阻塞服务器心跳。 - 直接返回结果:无需二次查询,生图请求直接返回图片 URL。
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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Thetail001
Source: modelscope
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DASHSCOPE_API_KEYexport ="您的API_KEY"MCP_ACCESS_TOKENexport ="您的自定义Token"Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
3/3 tools missing one or more hints — list_image_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); image_edit_generation (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool test coverage
1/3 tools referenced in tests (33%)
Write tests that reference each tool by name so every tool has at least one test.
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