Skip to main content
Glama
Sign In
pdf-inspector-mcp

pdf-inspector-mcp

by jayluxferro
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to pdf-inspector-mcp

No user-submitted related servers found.

    Related Servers

    • papyrus-mcp

      abhichat85
      A
      license
      Not graded
      quality
      B
      maintenance
      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.
      Apache 2.0

    • document-parser

      agenson-tools
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.
      72 npm
      MIT

    • PDF-MCP

      Ceyhun-Tufan
      A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to inspect, search, compare, and extract text and metadata from PDFs, and to compile Markdown or JSON into styled A4 PDF reports with tables, callouts, code blocks, and images.
      6
      MIT

    • Omni-Doc-MCP

      doujiaozh
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to extract text and structure from PDF, Word, and Excel documents as LLM-friendly Markdown or JSON, with tools for parsing files and listing supported formats.
      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 7 tools

    Disambiguation2/5

    detect_pdf and classify_pdf are nearly identical, both returning type, page count, and OCR pages, with only minor differences in speed/confidence. process_pdf also overlaps with all extraction tools, making tool boundaries unclear.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case pattern (e.g., process_pdf, extract_text, extract_pages_markdown). No mixed conventions or vague verbs.

    Tool Count4/5

    Seven tools is within a reasonable range, but the redundancy between detect_pdf and classify_pdf suggests the count could be trimmed. Still, it does not feel overwhelming.

    Completeness4/5

    The set covers detection, classification, plain text extraction, positioned text extraction, region-based extraction, and markdown conversion. Minor gaps like PDF metadata or OCR output are not critical to the inspection purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources