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205,114 tools. Last updated 2026-06-17 06:33

"Official tool for reading and analyzing PDF files from MCP" matching MCP tools:

  • 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 the full content of a Turkish Presidential Circular as Markdown by supplying the circular number and Official Gazette date obtained from search results.
    MIT
  • Extract text content from specific pages of PDF files using local paths or URLs, with built-in caching for efficient document processing.
    MIT
  • Retrieve file metadata like size and line count without accessing file contents. Helps determine optimal reading strategies for large files by analyzing file characteristics first.
    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
  • Scaffold a new MCP connector by generating server.js, package.json, and README files. Reduces boilerplate for MCP server setup, tool registration, and stdio transport.
    MIT

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    Enables 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.
    Last updated
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Matching MCP Connectors

  • Markdown to PDF: headings, bold, code, lists, rules. A4/Letter/Legal. Free 30/hr. MCP + REST.

  • Send transactional pdfs for AI agents via SMTP. Templates included.

  • 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
  • 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
  • Extract web content and convert it to clean Markdown for reading documentation, analyzing content, and gathering information from websites while preserving links and structure.
    MIT
  • Locate PDF files in directories using glob patterns to filter by filename, returning file details for processing with PDF reading tools.
    MIT
  • Reduce tool-call overhead by reading multiple files in a single request. Intent-aware compression preserves relevant content, token budgeting auto-downsizes, and dependency order ensures coherent context.
    MIT
  • Extract text content from binary files (DOCX, XLSX, PPTX, PDF) in the workspace. Faster alternative to reading via filesystem.
    MIT
  • Scans MCP configuration files for malicious hooks, suspicious servers, excessive tool permissions, and shell injection to verify safety before use.
    Apache 2.0
  • Extract metadata from PDF files to identify document properties like title, author, and creation date without processing full content.
    MIT
  • 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
  • Scan PDF and Markdown files in library folders to extract table of contents and create searchable indexes for quick retrieval.
    MIT