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file-analyzer-mcp

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    • file-analysis-mcp

      minheyok-choi
      F
      license
      A
      quality
      C
      maintenance
      Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.
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    • file-analysis-mcp

      Seonja-Lee
      F
      license
      Not graded
      quality
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      Enables LLM hosts like Claude Code or Codex CLI to inspect folder structures and read unstructured documents (PDF, PPTX, DOCX, SVG, and images) by returning raw text and images for the host to summarize or analyze.
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    • papyrus-mcp

      abhichat85
      A
      license
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      quality
      B
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      Enables AI agents to inspect and convert PDF, PowerPoint, Excel, and many other file formats into clean, structured Markdown, with chunking support for long documents.
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    • file-analyzer

      kyoungjongkil
      F
      license
      A
      quality
      C
      maintenance
      Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.
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    • File Context MCP Server

      alayonyo
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to read, search, and analyze local file systems with tools for reading file contents, listing directories, searching by patterns, and analyzing folder structures for context-aware queries.
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    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

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each read_* tool targets a distinct file format (pptx, svg, image, pdf, docx) with clear boundaries; list_supported_files and analyze_folder_structure have separate discovery roles. No overlap or ambiguity exists.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern: read_<format> for content extraction, plus list_supported_files and analyze_folder_structure. Conventions are uniform and predictable.

    Tool Count5/5

    Seven tools is well-scoped for a file analyzer server: five format readers plus two discovery/analysis helpers. Each tool has a clear purpose and none feel redundant or missing.

    Completeness5/5

    The server covers all explicitly supported formats (pdf, docx, pptx, svg, png) with read operations, and provides folder-level discovery through list_supported_files and analyze_folder_structure. The surface is complete for its stated analysis purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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