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tools-and-methods-to-analyze-and-extract-content-from-pdfs MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

75,443 tools. Last updated 2026-02-28 07:28
  • Extract structured content and metadata from URLs or files like PDFs, Word docs, and YouTube transcripts using intelligent auto-engine selection. Returns JSON output for easy processing.
    MIT
  • Extract parameters from web applications using automated crawling and manual methods to identify input fields for security testing and vulnerability assessment.
  • Extract parameters from web applications to identify potential attack vectors for security testing. Uses automated crawling and manual methods to discover input fields.
  • Extract images from web URLs for visual content analysis and text extraction. Convert images to base64 format suitable for LLM processing.
    Apache 2.0
  • Extract images from local files for visual analysis, OCR text extraction, and object recognition in screenshots, photos, diagrams, and documents.
    Apache 2.0
  • Extract structured content and metadata from URLs or files using an auto-selection engine. Supports web pages, documents, videos, and audio files with JSON output.
    MIT

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