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Glama
PovedaAqui

Auto-Snap MCP

by PovedaAqui
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DISPLAYNoX11 display to use for capturing:0
AUTO_SNAP_OUTPUT_DIRNoCustom directory for saving captured files$HOME/auto-snap-captures
AUTO_SNAP_USE_DATE_SUBDIRSNoOrganize captures by date in subdirectoriesfalse
AUTO_SNAP_INCLUDE_TIMESTAMPNoInclude timestamp in filenamesfalse
AUTO_SNAP_FILE_NAME_TEMPLATENoCustom template for file namingdoc_{page:04d}

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
list_windowsA
List all available windows for screenshot capture.

Returns:
    JSON string containing list of windows with their IDs, titles, and properties.
capture_windowA
Capture screenshot of a specific window.

Args:
    window_id: Window ID to capture (from list_windows)
    output_path: Optional path to save the screenshot

Returns:
    JSON string with capture results and file path.
capture_full_screenB
Capture screenshot of the entire screen.

Args:
    output_path: Optional path to save the screenshot

Returns:
    JSON string with capture results and file path.
capture_document_pagesA
Capture multiple pages from a document window with automatic navigation.

Args:
    window_id: Window ID containing the document
    page_count: Number of pages to capture
    output_dir: Directory to save captured pages
    navigation_key: Key to press for navigation (Page_Down, Right, space)
    delay_seconds: Delay between navigation and capture

Returns:
    JSON string with capture results and list of captured files.
process_imagesC
Process images in a directory with various operations.

Args:
    image_dir: Directory containing images to process
    operations: List of operations (enhance, ocr, resize, deduplicate)
    ocr_language: Language for OCR processing (default: eng)

Returns:
    JSON string with processing results.
convert_to_pdfA
Convert a list of images to a PDF document.

Args:
    image_paths: List of image file paths to convert
    output_path: Path for the output PDF file
    title: Optional title for the PDF document
    sort_files: Whether to sort files by name before conversion

Returns:
    JSON string with conversion results.
directory_to_pdfB
Convert all images in a directory to a PDF document.

Args:
    image_dir: Directory containing images
    output_path: Path for the output PDF file
    title: Optional title for the PDF document
    pattern: File pattern to match (default: all files)

Returns:
    JSON string with conversion results.
full_document_workflowB
Complete workflow: capture document pages, optionally process them, and convert to PDF.

Args:
    window_id: Window ID containing the document
    page_count: Number of pages to capture
    output_pdf: Path for the final PDF file
    capture_dir: Temporary directory for captures
    title: Optional PDF title
    navigation_key: Key for page navigation
    delay_seconds: Delay between navigation and capture
    process_images_flag: Whether to enhance images before PDF conversion

Returns:
    JSON string with complete workflow results.
check_system_dependenciesB
Check if all required system dependencies are installed.

Returns:
    JSON string with dependency check results.
debug_window_detectionB
Comprehensive debugging information for window detection issues.

Returns:
    JSON string with detailed diagnostics about PowerShell environment,
    process enumeration, and window detection capabilities.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
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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