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628,163 tools. Updated 2026-10-01 23:14

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

  • Embed files in PDF/A-3b documents for Factur-X/ZUGFeRD e-invoices or any PDF needing machine-readable side-files.
    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
  • 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
  • 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

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    36 PyPI
    MIT

Matching MCP Connectors

  • Free PDF tools for AI agents: merge, split, rotate, watermark, page numbers, metadata, flatten.

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

  • Scan PDF and Markdown files in library folders to extract table of contents and create searchable indexes for quick retrieval.
    MIT
  • Extract tables from PDF files and save them as JSON, CSV, or per-table files for further data processing. Converts PDF tables into structured data files.
    MIT
  • Generate blank test PDFs for exercising PDF tools. Specify page count, title, and optional output path to create sample files on demand.
    Apache 2.0
  • Extract text from PDF pages by specifying a file path and optional page range to retrieve content for analysis or processing.
    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
  • Extract text or images from PDF files for vision LLMs, handling both text and scanned documents with configurable extraction modes.
    MIT
  • Combine multiple PDF files from local paths or URLs into a single document. Specify the order of files and save the merged PDF to your chosen location.
    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
  • Read file contents from Google Drive, extracting text from PDFs and structured data from Excel files. Automatically converts Google Docs and Sheets to readable formats.
    MIT
  • Convert PDF files from URLs to structured Markdown format using OCR technology, preserving document structure and extracting images for easy editing and sharing.
    MIT
  • Locate PDF files in directories using glob patterns to filter by filename, returning file details for processing with PDF reading tools.
    MIT
  • Summarize any PDF from a URL, extracting title, key points, sentiment, topics, and word count. Useful for research papers, reports, and contracts.
    MIT