Skip to main content
Glama
pablontiv

PDF Reader MCP Server

by pablontiv

Related Servers

Alternatives to PDF Reader MCP Server

No user-submitted related servers found.

    Related Servers

    • 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
    • F
      license
      A
      quality
      D
      maintenance
      A comprehensive Model Context Protocol server that processes Microsoft Word documents with full formatting support, enabling text extraction, HTML/Markdown conversion, structure analysis, and image extraction.
      5
      2
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
      9
      Apache 2.0
    • A
      license
      B
      quality
      D
      maintenance
      A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.
      2
      4 npm
      9
      MIT

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: metadata extraction, page extraction, text extraction, and validation. The descriptions reinforce these differences, with no overlap that would cause agent confusion or misselection.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with 'extract' or 'validate' as the verb and 'pdf' plus a specific noun (metadata, pages, text, or implied file for validate). The naming is uniform and predictable throughout the set.

    Tool Count5/5

    With 4 tools, the server is well-scoped for a PDF reader domain, covering key operations without bloat. Each tool earns its place by addressing a distinct aspect of PDF processing, making the count appropriate and focused.

    Completeness4/5

    The tool set covers essential PDF operations like metadata, content extraction, and validation, but lacks tools for actions like merging, splitting, or converting PDFs. These gaps are minor and agents can likely work around them for basic reading tasks.