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?
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?
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?
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?
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?
Who developed this server?
This server was developed by Safe Swiss Cloud.