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Related Servers

Alternatives to picsense

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).
      1
      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
      A
      quality
      C
      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
      664 npm
      115
      MIT
    • A
      license
      Not graded
      quality
      D
      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
      D
      maintenance
      MCP server that gives DeepSeek and other clients vision capabilities by routing images to open-source multimodal models, returning structured specifications or answers. Supports CLI and MCP tools for design analysis and general image Q&A.
      42 npm
      MIT

    TDQS

    A3.6/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool targets a distinct input type (video, image, document) or a meta concern (session listing), so an agent can generally pick correctly. The only mild overlap is analyze_document vs analyze_images, since documents contain images, but the annotated-document output distinguishes them.

    Naming Consistency5/5

    All four tools use a consistent snake_case verb_noun pattern (analyze_video, analyze_images, analyze_document, list_sessions). No mixing of conventions or vague verbs.

    Tool Count4/5

    Four tools is a compact, well-scoped surface for a media-analysis server with three input modalities plus session listing. It is a bit thin on session management operations but nothing is redundant.

    Completeness3/5

    Core analysis workflows are covered across video, image, and document inputs, plus session listing. However, the session lifecycle is incomplete: there is no way to fetch a single session's detail, delete/close a session, or manage stored sessions, leaving dead ends after iteration.

    Maintenance

    ActivitySlowing
    ResponsivenessLimited data