MCP server for vision capabilities with automatic model fallback via ModelScope API
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# vision-mcp-server-pro MCP server for vision capabilities with **automatic model fallback** via ModelScope API. ## Features - Analyze images via URL or local file path - **Automatic model fallback**: when the primary model hits rate limits, it automatically tries the next model - Configurable model list via environment variables ## Default Model List (fallback order) 1. `Qwen/Qwen3.5-397B-A17B` 2. `Qwen/Qwen3-VL-235B-A22B-Instruct` 3. `moonshotai/Kimi-K2.5` 4. `Qwen/Qwen3.5-122B-A10B` ## Usage Add to your MCP client (e.g., Claude Code) using **uvx** (no global install needed): ```bash claude mcp add vision-mcp-server-pro --scope user \ -e MODELSCOPE_TOKEN=your_token_here \ -- uvx vision-mcp-server-pro ``` ## Environment Variables 使用前，需要设置以下环境变量： | Variable | Required | Description | |----------|----------|-------------| | `MODELSCOPE_TOKEN` | Yes | 魔搭社区的 API 密钥 | | `MODELSCOPE_MODEL` | No | 首选模型（默认使用回落列表中的第一个） | | `MODELSCOPE_FALLBACK_MODELS` | No | 自定义回落模型列表，逗号分隔（覆盖默认列表） | ### 获取 MODELSCOPE_TOKEN 访问 [魔搭社区](https://modelscope.cn/) → 个人中心 → API令牌 ### Specify Primary Model ```bash claude mcp add vision-mcp-server-pro --scope user \ -e MODELSCOPE_TOKEN=your_token_here \ -e MODELSCOPE_MODEL=Qwen/Qwen3-VL-235B-A22B-Instruct \ -- uvx vision-mcp-server-pro ``` ### Custom Fallback Models ```bash claude mcp add vision-mcp-server-pro --scope user \ -e MODELSCOPE_TOKEN=your_token_here \ -e MODELSCOPE_FALLBACK_MODELS="Qwen/Qwen3.5-397B-A17B,Qwen/Qwen3-VL-235B-A22B-Instruct" \ -- uvx vision-mcp-server-pro ``` ## Tool The server provides an `analyze_image` tool: - **`image`** (required): Image URL or local file path - **`prompt`** (optional): Question or analysis request (default: "请描述这张图片的内容") ## License MIT
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