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213,759 tools. Last updated 2026-06-19 20:06

"A tool for reading PDF documents" matching MCP tools:

  • Fetch large web documents in chunks by specifying a chunk index and size. Returns content along with metadata about total chunks for paginated reading.
    MIT
  • Retrieve specific financial documents by ID to access content, metadata, and extracted PDF text for comprehensive market analysis.
    MIT
  • Ingest documents (PDF, DOCX, TXT, MD) into a vector database for semantic search. Supports updating existing documents and visual captioning for PDF figures.
    MIT
  • Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images with metadata for academic papers or any PDF URL.
    Apache 2.0
  • Extract text content from PDF files with options for page filtering, text cleaning, and metadata inclusion. Use this tool to retrieve specific information from PDF documents without manual reading.
    MIT

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  • Retrieve reading annotations and notes for a Zotero item by its key, including PDF highlights, margin comments, and standalone notes. Ideal for literature review and analyzing reading insights.
    MIT
  • Extract metadata from PDF files to access document information without reading entire content. Use this tool to retrieve details like title, author, and creation date from PDF documents.
    Apache 2.0
  • Close an open PDF file to free system resources and manage document sessions. Use this tool when finished reading or processing a PDF to maintain optimal performance.
    MIT
  • Search and list PDF documents from academic and technical sources using query filters. Find PDFs quickly without full document processing.
    MIT
  • Find relevant information from your PDF knowledge base using semantic search. Retrieve cited excerpts from indexed documents by combining multiple databases.
    AGPL 3.0
  • Analyzes documents to automatically create JSON schemas for structured data extraction, enabling consistent field definitions across similar documents.
    MIT