Skip to main content
Glama
PovedaAqui

Auto-Snap MCP

by PovedaAqui
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Auto-Snap MCP

No user-submitted related servers found.

    Related Servers

    • Screenshot MCP Server

      yushinna
      F
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that enables natural language-driven screenshot capture on macOS, allowing users to take full desktop screenshots, capture specific windows, or select custom screen areas through Claude Desktop.
      -

    • Docling MCP

      saurabh-goyal-saurabh
      A
      license
      Not graded
      quality
      C
      maintenance
      A document processing MCP server that converts PDFs to structured formats and generates documents, with caching and RAG support.
      MIT

    • Cloudflare Playwright MCP

      sent3nal
      F
      license
      Not graded
      quality
      C
      maintenance
      A server that enables AI assistants to control a browser through tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.
      -

    • MCP Docling Server

      zanetworker
      A
      license
      Not graded
      quality
      D
      maintenance
      A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.
      19
      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

    A3.6/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between capture_document_pages and full_document_workflow, as the latter encompasses the former's functionality. Similarly, convert_to_pdf and directory_to_pdf both handle PDF conversion, though with different input sources. The descriptions help clarify these distinctions, but an agent might occasionally misselect between these pairs.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as capture_window, list_windows, and process_images. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions across the server.

    Tool Count5/5

    With 10 tools, the server is well-scoped for document capture and processing workflows. Each tool serves a clear purpose, from window listing and capture to image processing and PDF conversion, without unnecessary redundancy or gaps, making the count appropriate for the domain.

    Completeness4/5

    The tool set covers core workflows for document capture, processing, and PDF conversion comprehensively, including dependencies and debugging. However, there is a minor gap in direct OCR or text extraction tools, as process_images includes OCR but lacks standalone options, which might require workarounds for specific tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources