MCP Enabled PDF Reader

MCP Enabled PDF Reader

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

karateboss

Developer Tools
Visit Server

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. There is no maximum size to the pdf file that can be read in; the number of tokens 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/karateboss/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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
mermaid-mcp-server

mermaid-mcp-server

A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.

Featured
JavaScript
Jira-Context-MCP

Jira-Context-MCP

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Featured
TypeScript
Linear MCP Server

Linear MCP Server

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Featured
JavaScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python