mcp_pdf_reader

3.2

If you are the rightful owner of mcp_pdf_reader and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

MCP Enabled PDF Reader is a tool that allows reading PDF documents using the Model Context Protocol (MCP) server.

The MCP Enabled PDF Reader is a server tool that leverages the Model Context Protocol (MCP) to facilitate the reading of PDF documents. It is designed to work seamlessly with AI tools like Claude Desktop and LibreChat with Ollama. The tool does not impose a maximum size limit on the PDF files it can process; however, the number of tokens that can be passed to the model is the limiting factor. This tool is particularly useful for users who need to extract and process information from PDF documents in an automated and efficient manner. The installation process is straightforward, requiring Python 3.10 or higher and the 'uv' package. Configuration involves adding specific settings to the Claude Desktop configuration file. Developed by Safe Swiss Cloud, this tool is open for contributions and improvements from the community.

Features

PDF Reading: Allows reading of PDF documents using MCP.
No Size Limit: No maximum size limit for PDF files, limited by token count.
Cross-Platform: Compatible with Windows and macOS.
Easy Installation: Simple setup with Python and 'uv' package.
Community Contributions: Open for community improvements and contributions.

Tools

read_pdf
Tools for reading individual PDF documents

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