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112,965 servers. Updated
20 Best PDF MCP Servers: compared and ranked, October 2026Ranked from 2,029 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI-powered extraction and analysis of PDF documents with 40+ specialized tools for text, tables, images, layout analysis, security assessment, and document intelligence. Supports both text-based and scanned PDFs with OCR capabilities.
    271 PyPI
    11
    MIT
  • F
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to natively read, edit, and redact PDF documents in place through MCP tools, eliminating manual script execution and layout issues.
    6
    3
    -
  • A
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    A
    quality
    C
    maintenance
    Turn markdown into designed PDFs with cover page, table of contents, and code blocks that hold across pages. One command from Claude Desktop, Claude Code, Cursor, Cline, Zed, or any MCP-capable client.
    2
    33 npm
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables creative PDF generation with full design control including colors, shapes, emoji, and Unicode support. Supports everything from simple documents to artistic masterpieces using PDFKit's powerful API.
    5
    787 npm
    3
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A PDF debugging MCP server that inspects low-level PDF structure, including indirect objects, content streams, page trees, and resources.
    7
    -
  • A
    license
    A
    quality
    D
    maintenance
    A layout-aware local MCP server that analyzes PDF structures (multi-columns, tables, LaTeX equations) to save up to 90% context tokens for LLMs in Cursor and Claude Desktop. Powered by https://golocalpdf.com
    2
    4 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A comprehensive MCP server with 37 tools for PDF operations including reading, searching, creating, merging, splitting, watermarking, form filling, and more, built on open-source libraries.
    4
    37
    42 npm
    2
    MIT
  • A
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    quality
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    maintenance
    This read-only MCP Server allows you to connect to XML Documents data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for XML Documents (https://www.cdata.com/drivers/xml/download/mcp).
    3
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Local Markdown-to-PDF MCP server with four tools to list themes, render a document, validate an existing PDF, and create a document from a template. Requires Python, Pango/GLib, and fonts; its 0–100 report is heuristic, not print or accessibility certification.
    MIT
  • A
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    quality
    D
    maintenance
    A local MCP server that drives PDFium and pypdf to perform comprehensive PDF operations including inspection, assembly, page editing, watermarking, rendering, extraction, form filling, encryption, compression, attachments, bookmarks, and metadata management.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    A high-performance Model Context Protocol server that enables AI agents to extract text, images, and metadata from PDF documents using parallel processing. It features intelligent Y-coordinate content ordering to preserve natural reading flow and supports both local files and URL-based sources.
    8 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server for generating professional PDFs from structured JSON in AI agents like Claude or Cursor, using pure Node.js with embedded fonts and precision text layout.
    6
    81 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Generates professional corporate PDF reports from structured JSON specs or raw LLM text output. Enables creating polished multi-page reports with cover page, table of contents, executive summary, sections, tables, and charts.
    3
    16 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A comprehensive tool server for reading, merging, and extracting content from PDF files via local paths or direct URLs. It enables metadata retrieval, regex searching, and page-specific text extraction with built-in caching and workspace-restricted security.
    9
    6,012 PyPI
    MIT