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Alternatives to agent-eyes-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      B
      maintenance
      Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
      7
      23 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.
      7 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.
      1,007 npm
      10
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      A desktop tray MCP server that gives text-only LLMs vision by sending images to a multimodal model (e.g., MiMo) and returning the answer, allowing MCP-compatible agents to analyze local images, URLs, or base64 data.
      2
      -

    TDQS

    A4.5/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The tool's purpose is clearly defined in its description.

    Naming Consistency5/5

    The single tool name 'describe_image' follows a clear verb_noun pattern, which is consistent and predictable even with only one tool.

    Tool Count3/5

    A one-tool server feels thin, but the tool description covers a broad range of image understanding tasks. It is borderline, not excessive.

    Completeness4/5

    The tool covers many use cases (OCR, UI analysis, question answering, multiple image formats), but lacks separate operations like listing supported models or image preprocessing. Minor gaps, but core functionality is solid.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues