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.
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522,936 tools. Updated 2026-09-06 13:28
"Tools and methods for extracting data from PDF files" matching MCP tools:
- 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
- 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
- Extract text and embedded images from a PDF, saving them as separate text and image files for reuse.MIT
Matching MCP Servers
- AlicenseNot gradedqualityAmaintenanceThe local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.7153MIT
- AlicenseAqualityCmaintenanceEnables 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.8MIT
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 {}.
- Extract embedded images from PDF files as base64-encoded data. Retrieve figures, charts, or photos from any PDF page.MITDestructive
- Retrieve attachment content as base64-encoded data from Outline documents. Enables AI tools to process PDFs, images, and files.MIT
- 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 from PDF, Word, plain text, and HTML documents, with OCR for scanned files.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
- Extract text content from PDF files and convert to Markdown, with options to clean output for AI use.MIT
- Extract embedded images from PDF files. Supports pagination to retrieve images in small batches for analysis.MIT
- Trace derived genomic files back to original ENCODE data. Shows the chain of tools and parameters used to generate a file, using file path or source accession.AGPL 3.0