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luma-mcp / setup / crewai
Setup guide

Set up luma-mcp in CrewAI

communitystdioverifiedno verified config · noindex

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
# luma-mcp via CrewAI # transport: stdio # launch: npx -y luma-mcp

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm luma-mcp’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeOpenAI Agents SDKLangGraph
04Provenance
config_sourcegenerated from captured install method
last_checked2026-08-03 09:06Z
sourcesGitHub repo search [p4]
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