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
370,206 tools. Last updated 2026-08-02 11:35
"Tools and methods for extracting data from PDF files" matching MCP tools:
- 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
- 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
Matching MCP Servers
- Alicense-qualityAmaintenanceThe local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.Last updated6147MIT
- Alicense-qualityDmaintenanceProvides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.Last updatedApache 2.0
Matching MCP Connectors
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.
- 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
- 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
- Scan PDF files to detect hidden JavaScript, auto-actions, invisible text, and other concealed malicious content.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
- Embed files as attachments into a PDF to bundle supporting documents, receipts, or source data that travel with the PDF and can be extracted by readers.MIT