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"Official tool for reading and analyzing PDF files from MCP" matching MCP servers:

  • PDF MCP

    gzigurella
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    license
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    quality
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    maintenance
    Enables PDF processing and analysis including text extraction, metadata retrieval, search, page manipulation, splitting/merging, conversion to images, and form handling.
    10
    MIT

  • pdf-mcp

    I-CAN-hack
    A
    license
    A
    quality
    C
    maintenance
    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
    52
    MIT

  • MCP PDF Reader

    rturv
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    license
    A
    quality
    C
    maintenance
    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
    30
    1
    MIT

  • pdf-mcp

    wesseltl
    A
    license
    -
    quality
    A
    maintenance
    Extracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.
    1
    MIT

  • MCP PDF

    rsp2k
    A
    license
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    quality
    D
    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.
    10
    MIT

  • pdf-agent-mcp

    sanhua1
    F
    license
    -
    quality
    D
    maintenance
    A local MCP server that extracts text-layer content from PDF files, enabling AI agents to inspect, extract text, outlines, and page content.

  • pdf-processor

    oocoder
    F
    license
    -
    quality
    C
    maintenance
    This server converts PDFs to markdown with intelligent academic paper detection and dual processing engines (marker-pdf for academic content, PyMuPDF for general documents), supporting URL and local file handling, page extraction, batch processing, and PDF link crawling for Claude Code analysis.

  • pdf-triage-mcp

    vishalmeena2211
    A
    license
    A
    quality
    B
    maintenance
    An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.
    4
    456
    MIT

  • pdf-toolkit-mcp

    AryanBV
    A
    license
    A
    quality
    C
    maintenance
    MCP server for PDF manipulation — create PDFs from Markdown with tables and formatting, fill forms, merge, split, encrypt, add QR codes, and more. 16 tools, zero external binaries, TypeScript-native. Install with npx -y @aryanbv/pdf-toolkit-mcp.
    22
    198
    9
    MIT
  • okraPDF PDF MCP server by okrapdf

    okraPDF PDF MCP serverofficial

    okrapdf
    A
    license
    A
    quality
    C
    maintenance
    This MCP server enables AI agents to view PDFs as accessible HTML with bounding-box citations, and provides tools for layout-aware parsing, schema extraction, cross-document Q&A, and PDF rendering.
    27
    MIT

  • MCP PDF Reader

    Saqib-Aziz007
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.
    4
    124
    1
    MIT

  • pdf-navigator-mcp

    matsengrp
    A
    license
    A
    quality
    B
    maintenance
    Provides PDF reading, text search, navigation, and form filling capabilities through MCP, with cross-platform PDF viewer integration for seamless document interaction.
    7
    8
    MIT

  • PDF Tools MCP Server

    lockon-n
    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
    MIT