mcp_pdf_reader
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MCP Enabled PDF Reader is a tool that allows reading PDF documents using the Model Context Protocol (MCP) server, tested on platforms like Claude Desktop and LibreChat with Ollama.
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 such as 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 integrate PDF reading capabilities into their MCP-enabled applications. The installation process requires Python 3.10 or higher and the 'uv' package, and it is compatible with both Windows and macOS operating systems. Configuration involves adding specific settings to the Claude Desktop configuration file to enable the MCP server functionality.
Features
- PDF Reading: Allows reading of PDF documents using MCP.
- Platform Compatibility: Tested on Claude Desktop and LibreChat with Ollama.
- No Size Limit: No maximum size for PDF files, limited by token count.
- Cross-Platform: Works on both Windows and macOS.
- Easy Configuration: Simple setup with configuration file adjustments.
Tools
read_pdf
Tools for reading single PDF documents