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MCP Visual Language

by lengbone
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Alternatives to MCP Visual Language

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    Related Servers

    • glm-vision-mcp

      kkdnn
      A
      license
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      quality
      B
      maintenance
      Provides image understanding and OCR via GLM-4.6V-Flash, supporting URL, base64, and local file inputs. Enables AI assistants to analyze images and extract text from screenshots, documents, and more.
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    • Luma MCP

      mateuszpanagiotou0628
      A
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      Not graded
      quality
      A
      maintenance
      Grants image-understanding capabilities to AI coding assistants that lack native vision by routing screenshots, error messages, UI mockups and documents through a single unified analysis tool. Supports multiple vision model providers such as GLM, DeepSeek-OCR, Qwen-VL, Doubao and Hunyuan, with automatic multi-crop, compression and retry handling for text-dense images.
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    • glm-vision-mcp

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      A
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      1
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    • Luma MCP

      Collins1150
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding models without native vision to analyze images such as screenshots, error messages, UI layouts, and documents through a single image_understand tool. Supports multiple vision LLM providers including GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, Doubao-Seed-1.6, Hunyuan-Vision, and any OpenAI-compatible endpoint.
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    • GLM Vision Server

      danilofalcao
      A
      license
      B
      quality
      D
      maintenance
      Enables image analysis using GLM-4.5V's vision capabilities from Z.AI. Supports analyzing both local image files and URLs with customizable prompts and parameters.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as analyzing images from various sources, leaving no room for confusion or misselection.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'auto_analyze_image' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.

    Tool Count2/5

    A single tool is generally too few for most server purposes, as it limits functionality and flexibility. While the tool itself might be useful, the server's scope appears thin, lacking complementary operations like image editing, filtering, or metadata extraction that would enhance coherence.

    Completeness2/5

    The server is severely incomplete for a visual language domain. It only provides analysis, missing essential operations such as image generation, transformation, annotation, or comparison. This gap will likely cause agent failures when broader image-related tasks are required.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources