Skip to main content
Glama
prasadabhishek

photographi-mcp

by prasadabhishek
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

Related Servers

Alternatives to photographi-mcp

No user-submitted related servers found.

    Related Servers

    • woof

      ouestcharlie
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to browse and search local photo galleries without uploading photos, using metadata-only indexing and local thumbnail serving.
      199 PyPI
      8
      MIT

    • locket

      noahejung
      A
      license
      Not graded
      quality
      B
      maintenance
      A privacy-first personal context engine that ingests personal photos and message exports, extracts cited facts, and serves a queryable profile over MCP for natural-language questions like 'when did I last see Sarah?'.
      MIT

    • ImageSorcery MCP

      eikechukwu39
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to perform local computer-vision-based image recognition and editing, including cropping, resizing, rotating, background removal, drawing text and shapes, object detection, OCR, overlays, and metadata inspection without sending images to external servers.
      MIT
    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

    A3.9/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'cull_photographs' and 'threshold_cull' are very similar, differing only in default thresholds and folder names, which could cause misselection. 'rank_photographs' and 'analyze_folder' also have overlapping functionality.

    Naming Consistency4/5

    All tools share the 'photographi_' prefix and generally follow a verb_noun pattern. However, 'cull_photographs' and 'threshold_cull' are inconsistent in structure (verb_noun vs adjective_verb), breaking the otherwise predictable naming convention.

    Tool Count5/5

    With 8 tools covering analysis, culling, ranking, color extraction, and scene detection, the count is well-scoped for a photography MCP server. Each tool serves a clear role without being excessive or insufficient.

    Completeness4/5

    The tool set covers core photography workflows: single/batch analysis, culling, ranking, color palettes, and object detection. Minor gaps exist (e.g., no tool for metadata extraction or direct editing), but these are acceptable for the server's stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources