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Alternatives to vision-augment

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables any MCP client to perform image understanding and OCR via any OpenAI-compatible vision-language model. Supports local, private inference without images leaving the machine.
      2
      16 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a unified image-understanding tool for AI assistants without native vision, letting them analyze screenshots, error messages, UI layouts, and documents via multiple vision LLM providers. It supports local files, remote URLs, Data URIs, OCR, multi-crop processing, and standard MCP clients.
      1,104 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.
      3
      25 npm
      MIT

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: the vision tool performs vision/OCR/document tasks, clear_cache manages caching, and health checks the environment. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    All tools share the consistent mcp_vision_augment_ prefix, but the suffixes are not uniform: 'clear_cache' follows verb_noun, while 'vision' and 'health' are nouns. Still, the pattern is predictable and readable.

    Tool Count4/5

    Three tools is at the lower end of the typical range but is reasonable for this server's scope: one main functional tool plus two support tools. It does not feel unnecessary or sparse.

    Completeness5/5

    The tool surface covers the core vision augmentation functionality (vision, OCR, document parsing) and the necessary operational tools (health check, cache clearing). No obvious missing operations that would impede an agent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues