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MCP Enabled PDF Reader

@karateboss

Repository

About MCP Enabled PDF Reader

Model Context Protocol (MCP) server to read a single pdf document

Basic information

Category

Files & Storage

License

Apache-2.0

Runtime

python

Transports

stdio

Publisher

karateboss

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-pdf-reader": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/karateboss/mcp_pdf_reader@main",
        "mcp_pdf_reader"
      ]
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Enabled PDF Reader?

MCP Enabled PDF Reader is a Model Context Protocol (MCP) server that exposes a single tool called read_pdf to read a single PDF document. It is designed for use with MCP‑enabled AI tools such as Claude Desktop and LibreChat with Ollama.

How to use MCP Enabled PDF Reader?

Install Python 3.10 or higher and the uv package manager. Then add the provided JSON configuration to your claude_desktop_config.json to register the server. The tool is invoked by the MCP client when the AI agent calls read_pdf.

Key features of MCP Enabled PDF Reader

  • Exposes one tool: read_pdf
  • Reads a single PDF document per invocation
  • No maximum PDF file size (token limit is the limiting factor)
  • Tested with Claude Desktop and LibreChat with Ollama
  • Configured via claude_desktop_config.json using uvx
  • Developed and maintained by Safe Swiss Cloud

Use cases of MCP Enabled PDF Reader

  • Reading PDF documents directly through a Claude Desktop conversation
  • Extracting text from PDFs using LibreChat with an Ollama backend
  • Integrating PDF content into any MCP‑compatible AI workflow

FAQ from MCP Enabled PDF Reader

What does MCP Enabled PDF Reader do?

It provides a Model Context Protocol server that exposes the read_pdf tool, allowing MCP‑enabled AI assistants to read and process the content of a single PDF file.

What are the prerequisites?

You need Python 3.10 or higher, the uv package manager, and an MCP‑enabled client such as Claude Desktop or LibreChat with Ollama.

Are there any file size limits?

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

Which MCP clients have been tested?

The server has been tested on Claude Desktop and LibreChat with Ollama.

Where can I get support or contribute?

Check the project’s documentation, submit issues or pull requests through the GitHub repository, or contact Safe Swiss Cloud.

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