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457,697 tools. Updated 2026-08-14 14:08

"Tools and methods for extracting text from PDF files" matching MCP tools:

  • 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
  • Read raw source documents with automatic text extraction for PDF, DOCX, XLSX, PPTX, and plain text. Paginate by pages, sheet, or line offset.
    MIT
  • Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.
    GPL 3.0
  • Add LPM packages to your project by extracting source files for customization. Use for UI components, blocks, templates, and MCP servers.
    ISC

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  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Markdown to PDF: headings, bold, code, lists, rules. A4/Letter/Legal. Free 30/hr. MCP + REST.

  • Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images of detected elements with metadata from academic papers or any PDF URL.
    Apache 2.0
  • Upload files into Velixar memory with full source provenance. Supported formats include PDF, Markdown, text, CSV, JSON, DOCX, and code files.
    MIT
  • Converts PDF and scanned images into editable text while preserving layout. Supports OCR, page selection, and password-protected files.
    MIT
  • Ingest a document file locally by extracting its text and storing it as a recallable entity in memory. Supports plaintext, markdown, and structured text; DOCX and PDF require a specific build.
    MIT
  • Fetch a PDF from a URL and extract its text content. Returns clean plain text, handling compressed and encrypted PDFs.
    MIT
  • Download an attachment by ID. Returns content for images and text, or JSON metadata with base64 for binary files; includes truncation flag for oversized files.
    Apache 2.0
  • Compare PDF, DOCX, or TXT documents from local disk to see differences. Choose visual mode for a full document-review manifest or text mode for faster results; files up to 45 MB are supported.
    MIT
  • Retrieve the full text extracted from PDF attachments in Zotero. Supports pagination for large documents, returning indexed text with hasMore and nextOffset for fetching remaining content.
    MIT