Skip to main content
Glama

Related Servers

Alternatives to Luma MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      A multi-model vision MCP server that gives image understanding to AI coding models lacking native vision, letting them analyze screenshots of code, errors, UI, and documents or perform OCR. It routes requests through major vision LLM providers and can be shared over local networks via HTTP or Docker.
      866 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Multi-model vision understanding MCP server that provides unified image analysis for AI assistants without native vision, supporting models like GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, and more.
      1
      866 npm
      116
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.
      8
      14 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      MCP server that gives text-only models vision capabilities via free GLM vision models, supporting image description, OCR, chart/document analysis, and grounding with automatic model fallback.
      1
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants and coding models without native vision to analyze images—screenshots, error messages, UIs, documents and OCR text—through a single unified image_understand tool. Supports multiple vision LLM providers (GLM-4.6V, DeepSeek-OCR, Qwen3-VL, Doubao, Hunyuan, or any OpenAI-compatible endpoint), with automatic image preprocessing, cropping and retries, over stdio or shared HTTP/Docker deployment.
      866 npm
      MIT