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A tool for reading and extracting content from PDF papers MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

75,324 tools. Last updated 2026-02-25 16:20
  • 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
  • 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 figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images with metadata from academic papers or any PDF URL.
    Apache 2.0
  • 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
  • Extract text from PDF files while preserving LaTeX mathematical notations and document layout structure, ideal for processing scientific papers.
  • 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.

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