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MCP Enabled PDF Reader

by karateboss

The MCP Enabled PDF Reader server exposes a tool to read a single PDF document within a Model Context Protocol (MCP) enabled framework. It has been tested with Claude Desktop and LibreChat with Ollama.

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What is MCP Enabled PDF Reader?

This server provides a tool called read_pdf that allows MCP-enabled AI tools like Claude Desktop and LibreChat to read and process the content of a single PDF document. It bridges the gap between PDF documents and AI models, enabling them to understand and utilize the information contained within.

How to use MCP Enabled PDF Reader?

To use this server, you need to configure your MCP-enabled AI tool (e.g., Claude Desktop) to recognize and utilize the mcp-pdf-reader server. This involves adding a configuration entry to your claude_desktop_config.json file, specifying the command and arguments needed to launch the server. The provided configuration in the README uses uvx to install and run the server directly from the GitHub repository.

Key features of MCP Enabled PDF Reader

  • PDF reading capability for AI models

  • Integration with MCP-enabled tools

  • Support for Claude Desktop and LibreChat

  • Dynamic installation via uvx

  • No maximum PDF size (limited by token count)

Use cases of MCP Enabled PDF Reader

  • Analyzing PDF documents with AI

  • Extracting information from PDFs for AI-powered applications

  • Using PDF content as context for AI conversations

  • Summarizing PDF documents using AI

  • Question answering based on PDF content

FAQ from MCP Enabled PDF Reader

What is MCP?

Model Context Protocol (MCP) is a framework that allows AI tools to interact with external resources and services.

What AI tools are compatible with this server?

This server has been tested with Claude Desktop and LibreChat with Ollama.

Is there a maximum size for the PDF file?

There is no maximum file size, but the number of tokens passed to the model will be the limiting factor.

How do I install this server?

Follow the installation instructions in the README, which involve installing prerequisites like Python and uv, and configuring your MCP-enabled AI tool.

Who developed this server?

This server was developed by Safe Swiss Cloud.