Extract text from files attached to monday.com board items for reading, summarizing, or analyzing content.
MIT
549,109 tools. Updated 2026-09-11 14:39
"A tool for reading and extracting content from PDF papers" matching MCP tools:
- Upload a PDF via URL or base64 bytes to create a document_id for subsequent parsing, extraction, Q&A, and viewing.MIT
- Renders any URL in a real browser, returning markdown, screenshots, PDFs, or structured data in one call. Ideal for summarizing or extracting content from live web pages.MIT
- List datasheet sections by uploading a PDF or providing a part SKU. Get headings and page numbers to quickly find relevant content before reading details.Apache 2.0
- Extract text from an Office document by providing its document ID; the tool converts the document from PDF format.MIT
- Fetch any webpage and strip navigation, ads, and scripts to extract clean article content as markdown, text, HTML, PDF, or JSON.MIT
Matching MCP Servers
- FlicenseAqualityDmaintenanceEnables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.11-
- AlicenseAqualityCmaintenanceEnables software and AI to work with accounting engagements through portable concepts such as trial balances, adjustments, working papers, and review notes, with declared adapter capabilities and validate-before-commit mutations.51Apache 2.0
Matching MCP Connectors
The verified hub for conferences and journals. Powered by AI to match your scholarly ambitions with the world's most prestigious academic opportunities.
Free, open MCP server for The Urantia Papers. 197 papers, 14,500+ paragraphs, 4,400+ entities.
- 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 Markdown content into a PDF document. Input markdown text and receive base64-encoded PDF bytes for integration into document workflows.MIT
- Extract all text content from a PDF. Input the PDF as a base64-encoded string and receive the extracted text.MIT
- Retrieve document metadata including title, author, dates, page count, and file size without reading the content. For PDF files, additionally returns subject, creator, producer, and version.MITDestructive
- Generate a PDF from HTML content. Accepts HTML input and returns base64-encoded PDF bytes, enabling automated document creation from HTML templates.MIT
- Convert a web page or HTML content into a PDF document. Returns the PDF as a base64-encoded string for direct use.MIT
- Fetch a PDF from a URL and extract its text content with options for column reordering and whitespace compaction.MIT
- Initiates an asynchronous crawl of a website, extracting content from multiple pages. Use for comprehensive site coverage; monitor progress with returned operation ID.MIT
- List papers in your Zotero reading queue, showing delivery status (unsent, sent, or no-open-access-pdf) and unique item keys for managing queue operations.MIT
- Send all unsent papers from Zotero Reading Queue. Automatically skips sent or unavailable PDFs, tags no-oa-pdf, and splits batches to comply with email limits.MIT
- Converts PDF to reading-order Markdown for LLM consumption. Reconstructs up to 2 content columns, infers headings from font size, detects lists; tables rendered as plain text.MIT
- Retrieve clean, readable content from a known public URL—web page, PDF, or GitHub repo—with metadata, abstract, or full-text modes for efficient triage and reading.MIT
- Retrieve complete Grokipedia articles with metadata, content previews, and citations for reading, overviews, and source verification.MIT
- Add papers to your Zotero reading queue using arXiv IDs, DOIs, URLs, or titles. Already-queued papers are reported, and unresolvable entries are flagged.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