by JochenYang · MCP Server · ★ 54
Multi-Model Visual Understanding MCP Server, GLM-4.6V, DeepSeek-OCR (free), and Qwen3-VL-Flash. Provide visual processing capabilities for AI coding models that do not support image understanding.多模型视觉理解MCP服务器,GLM-4.6V、DeepSeek-OCR(免费)和Qwen3-VL-Flash等。为不支持图片理解的 AI 编码模型提供视觉处理能力。
| Stars | 54 |
| Forks | 6 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 46.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-02 |
| Created | 2025-11-11 |
| Platforms | mcp, node |
| Est. Tokens | ~13k |
These tools work well together with luma-mcp for enhanced workflows:
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luma-mcp is Multi-Model Visual Understanding MCP Server, GLM-4.6V, DeepSeek-OCR (free), and Qwen3-VL-Flash. Provide visual processing capabilities for AI coding models that do not support image understanding.多模型视. It is categorized as a MCP Server with 54 GitHub stars.
luma-mcp is primarily written in TypeScript. It covers topics such as image-understanding, mcp, mcp-server.
You can find installation instructions and usage details in the luma-mcp GitHub repository at github.com/JochenYang/luma-mcp. The project has 54 stars and 6 forks, indicating an active community.
luma-mcp is released under the MIT license, making it free to use and modify according to the license terms.