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minheyok-choi

file-analysis-mcp

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      Enables AI agents to read and extract text, tables, and image content from files (PDF, DOCX, PPTX, SVG, PNG) within a folder, providing structured data for interpretation by the calling model.
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    • F
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      quality
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      Enables local folder analysis of unstructured documents (PDF, DOCX, PPTX, TXT, SVG, PNG, CSV, XLSX) by extracting structure, reading content, and generating reports, with a strict approval gate before any save operation.
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    TDQS

    A4.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: read_document handles individual text documents, scan_folder lists metadata, analyze_folder_structure provides hierarchical stats, read_image_text does OCR, and analyze_folder batch-processes all files. Descriptions explicitly state what not to use each tool for, reinforcing boundaries.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (read_document, scan_folder, analyze_folder_structure, read_image_text, analyze_folder). The verbs are distinct and descriptive, and the pattern is uniform across the set.

    Tool Count5/5

    With 5 tools, the server is well-scoped for file and folder analysis. Each tool covers a distinct aspect (single read, metadata scan, structure analysis, OCR, batch processing) without redundancy or missing essentials, making the count ideal for its purpose.

    Completeness5/5

    The tool surface covers the full lifecycle of file analysis: listing, detailed reading (both text and OCR), structural analysis, and batch processing. Error handling and truncation are addressed. No obvious gaps for the stated domain, such as missing file deletion or modification, which are out of scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues