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114,918 servers. Updated
20 Best PDF MCP Servers: compared and ranked, November 2026Ranked from 2,140 matching servers on stars, growth, downloads and maintenance. Updated .

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"A tool for reading PDF files" matching MCP servers:

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    Enables precise extraction of PDF content, including text coordinates, vector shapes, images, and on-demand raster rendering, for use cases like reconstructing design files.
    3
    18 npm
    MIT
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    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
    1
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    An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.
    5
    79
    MIT
  • A
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    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
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    Provides PDF reading, text search, navigation, and form filling capabilities through MCP, with cross-platform PDF viewer integration for seamless document interaction.
    7
    9
    MIT
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    A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.
    7
    7 npm
    1
    MIT
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    An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.
    1
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    A server that provides tools for reading and processing PDF documents, allowing users to list available PDFs and extract their content in Markdown format.
    2
    5
    MIT
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    Enables natural-language control of DK-META2 devices through local BLE for vibration, linear extension, and rotation. It also supports scanning, connecting, status checks, and safe stop/disconnect operations without cloud access.
    8
    1
    MIT
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    Enables AI clients to scan for and connect to compatible BLE devices, control suction, vibration, linear, and rotary outputs, and safely stop or disconnect through MCP tools.
    22
    1
    MIT
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    Enables MCP clients to submit HTTPS WeChat article URLs and receive parsed title, author, timestamp, and Markdown body through an external extractor, with clear errors for invalid paths, missing tools, timeouts, or access restrictions.
    MIT
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    PDF Merge AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
    2 npm
    31 PyPI
    MIT
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    Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.
    MIT
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    Enables AI agents to extract text locally from PDF files through a STDIO tool, returning full-document text, page-level paragraphs, extraction methods, warnings, and basic table readability, with English/German OCR fallback for scanned pages.
    MIT
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    An MCP server that provides tools for reading, writing, and manipulating PDF files, including text extraction, metadata retrieval, and merging or splitting documents. It also enables users to create PDFs from plain text and convert specific pages or entire documents into images.
    41 npm
    1
    ISC
  • A
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    Enables PDF file manipulation including merging, splitting, extracting pages, extracting text, excluding pages, and reordering pages.
    21 npm
    1
    MIT
  • A
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    A low-token human-AI co-reading MCP tool that imports local EPUB/TXT/Markdown books into chunks, enabling AI to read only relevant fragments and write co-reading results to long-term reading notes and progress files.
    79
    MIT