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MCP Enabled PDF Reader

MCP Enabled PDF Reader

Local
github.com/Safe-Swiss-Cloud-AGFiles & Storage9Updated 80w ago
Repository

About MCP Enabled PDF Reader

MCP Enabled PDF Reader is an MCP server for reading a single PDF document, intended for use with MCP-enabled AI tools. It exposes a `read_pdf` tool; the amount of content the model can process is limited by its token capacity.

Key features

  1. 01Read a single PDF document
  2. 02Expose reading through `read_pdf`
  3. 03Processing limited by model token capacity

Use cases

  1. 01Read PDFs from an MCP client
  2. 02Pass PDF content to an AI tool

MCP support

The server exposes a `read_pdf` tool to MCP clients for reading a single PDF document.

#mcp-pdf-reader#pdf-reader#mcp-enabled

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "pdf-reader-safe-swiss-cloud-ag": {
      "command": "uvx",
      "args": [
        "git+https://github.com/Safe-Swiss-Cloud-AG/mcp_pdf_reader@main"
      ]
    }
  }
}
Run commanduvx 'git+https://github.com/Safe-Swiss-Cloud-AG/mcp_pdf_reader@main'

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypigit+https://github.com/Safe-Swiss-Cloud-AG/mcp_pdf_reader@main

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Enabled PDF Reader

Model Context Protocol (MCP) server exposes a tool called read_pdf to read a single pdf document. This has been tested on Claude Desktop and LibreChat with Ollama. Although there is no maximum size to the pdf file that can be read, the number of tokens passed to the model will be the limiting factor.

Installation

Prerequisites
Windows

  1. Install Claude Desktop (or another MCP-enabled AI tool)

  2. Install Python 3.10 or higher:

    • Download the latest Python installer from python.org
    • Run the installer, checking "Add Python to PATH"
    • Open Command Prompt and verify installation with python --version

  3. Install uv:

    • Open Command Prompt as Administrator
    • Run pip install --user uv
    • Verify installation with uv --version
macOS

  1. Install Claude Desktop (or another MCP-enabled AI tool)

  2. Install Python 3.10 or higher:

    • Using Homebrew: brew install python
    • Verify installation with python3 --version

  3. Install uv:

    • Using Homebrew: brew install uv
    • Alternatively: pip3 install --user uv
    • Verify installation with uv --version

Configuration

Add the following to your claude_desktop_config.json:

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

Attribution

This software package implements the ability to read a pdf file into a MCP enabled framework and is developed by Safe Swiss Cloud.

Contributing

We welcome contributions to improve these tools. Please submit issues and pull requests through our repository.

Support

For questions and support:

  1. Check our documentation
  2. Submit an issue in our repository

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.