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snow930

Vision-Multi MCP Server

by snow930

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    • 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, error images, UIs, documents, and OCR content through a single unified tool. It supports several mainstream vision LLM providers plus any OpenAI-compatible endpoint, with automatic image cropping, compression, and retry handling.
      1,104 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for analyzing images using multiple vision LLM providers (OpenCode, OpenAI, Anthropic, Google, and custom OpenAI-compatible endpoints). Provides tools to analyze single or multiple images, list providers, and test vision capabilities.
      MIT

    TDQS

    A4.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: list_providers shows available backend configurations, while analyze_image performs image analysis. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tool names follow the consistent verb_noun pattern: list_providers and analyze_image. This is a predictable and uniform naming convention.

    Tool Count4/5

    With only 2 tools, the set is minimal but well-suited to the server's focused purpose of image analysis with configurable providers. Each tool serves a distinct and necessary function, so the count feels appropriate rather than thin.

    Completeness4/5

    The core workflow is covered: list available providers and analyze an image, with the ability to select a provider or model. A minor gap is the lack of provider management operations, but these are typically handled by configuration files rather than MCP tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues