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luma-mcp

by JochenYang · TypeScript · ★ 75

View on GitHub ↗

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。

#image-understanding#mcp#mcp-server#model-context-protocol#vision

Install

npx -y github:JochenYang/luma-mcp

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars): 

{
  "mcpServers": {
    "luma-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "github:JochenYang/luma-mcp"
      ]
    }
  }
}

From the README

多模型视觉理解 MCP 服务器，为不支持原生视觉能力的 AI 助手提供统一的图片分析能力。 [English](./docs/README_EN.md) | 中文 - 多模型支持：GLM-4.6V、DeepSeek-OCR、Qwen3-VL-Flash、Doubao-Seed-1.6、Hunyuan-Vision-1.5 - 单工具设计：统一通过 完成图片理解 - 面向复杂截图优化：支持大图多裁剪、文本密集场景保真处理 - 统一预处理链路：本地文件、远程 URL、Data URI 都进入同一套处理流程 - 适用场景完整：代码截图、UI 截图、报错截图、文档截图、OCR - 标准 MCP 协议：可接入 Claude Desktop、Cline、Claude Code 等客户端 - 内置重试：降低临时网络或模型请求失败带来的影响 - Node.js >= 18 - 任意一个模型提供商的 API Key 也可以在 MCP 配置中直接使用： 把 和对应密钥替换为你实际使用的提供商： - -> - -> - -> - -> - -> - -> + + （任意 OpenAI 兼容端点） 可选模型覆盖： - - - 使用任意 OpenAI 兼容端点（OpenAI、OpenRouter、Together AI、Anthropic 代理、本地 v…
Read full README on GitHub →

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