Set up luma-mcp in VS Code

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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。

01Configuration

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

Add this to .vscode/mcp.json. Generated from the captured install method (npx); the mcpServers shape is shared across Claude Desktop, Cursor, Windsurf, Cline, and VS Code.

02Steps

Make sure VS Code is installed and up to date.
Open .vscode/mcp.json and add the block above (merge into any existing mcpServers).
Provide any required API keys/credentials as environment variables.
Restart VS Code and confirm luma-mcp’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose OpenAI Agents SDK LangGraph CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-08-03 09:06Z

sourcesGitHub repo search [p4]

Next step

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