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741,773 tools. Updated 2026-11-04 09:00

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

  • Embed one or more files into a PDF as attachments that travel with the document and stay extractable by readers. Bundle source data, receipts, or supporting documents directly with your PDF.
    MIT
  • Convert local files using 35+ tools like PDF to Word, merge PDFs, or URL to PDF. Saves output alongside input or in a specified directory.
    MIT
  • Render a chosen CV variant to PDF and/or DOCX, then verify the PDF for ATS safety and report pass/fail checks. Use when CV files are needed.
    MIT
  • Convert PDF files to markdown format for easier editing and content extraction. Use server file paths or online URLs to transform PDF content into readable text.
    MIT
  • Reads text files from a workspace directory. For binary files like docx or pdf, returns metadata and a file path hint for direct access.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    A
    maintenance
    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    6,998 npm
    MIT

Matching MCP Connectors

  • Locate PDF files in directories using glob patterns to filter by filename, returning file details for processing with PDF reading tools.
    MIT
  • Create PDF/A-3b documents with embedded files to generate Factur-X or ZUGFeRD e-invoices and attach machine-readable side files.
    MIT
  • Extract text content from binary files (DOCX, XLSX, PPTX, PDF) in the workspace. Faster alternative to reading via filesystem.
    MIT
  • Merge multiple PDF files into one combined document. Files are processed in the order provided, and the merged PDF is returned as a base64-encoded string.
    MIT
  • Retrieve document metadata such as file type, size, and modification time without reading the full content. Get page counts for PDFs or line counts for text files to quickly assess document details.
    MIT
  • Fetch any URL with no domain restrictions and return page content as clean markdown. Handles HTML, JSON, XML, CSV, and PDF files.
    MIT
  • Extract text content from PDF files with options for page filtering, text cleaning, and metadata inclusion. Use this tool to retrieve specific information from PDF documents without manual reading.
    MIT
  • Lists PDF files in the configured local workspace, returning up to 200 items so you can select documents for reading, highlighting, or annotation.
    MIT
  • Retrieve reading annotations and notes for a Zotero item by its key, including PDF highlights, margin comments, and standalone notes. Ideal for literature review and analyzing reading insights.
    MIT
  • List PDF figures with diagnostic information, optionally filtered by outline node. Prepare for focused figure reading.
    MIT
  • Merge multiple PDF files into a single document by providing file paths or URLs. Specify output directory and filename for the combined PDF.
    MIT
  • Retrieve document metadata including title, author, dates, page count, and file size without reading the content. For PDF files, additionally returns subject, creator, producer, and version.
    MIT
    Destructive