P

mcp-pdf-tools

...
Created 12/21/2024byhanweg

Language:

Python

Stars:

28

Forks:

3

WORK IN PROGRESS - USE WITH CAUTION - Windows:

MCP PDF Tools Server

An MCP (Model Context Protocol) server that provides PDF manipulation tools. This server allows LLMs to perform operations like merging PDFs and extracting pages through the Model Context Protocol.

Features

  • Merge multiple PDF files into a single PDF
  • Merge multiple PDF files into a single PDF in user specified order
  • Extract specific pages from a PDF file
  • Search PDFs filesystem search or Everything search works better than this
  • Find (and merge) related PDFs based on text extraction and regex pattern matching from a target input PDF

Installation

  1. Clone this repository
cd mcp-pdf-tools

# Create and activate virtual environment
uv venv
.venv\Scripts\activate

# Install the package
uv pip install -e .

Usage with Claude Desktop

Add this to your Claude Desktop configuration file (claude_desktop_config.json):

{
    "mcpServers": {
        "pdf-tools": {
            "command": "uv",
            "args": [
                "--directory",
                "PATH_TO\\mcp-pdf-tools",
                "run",
                "pdf-tools"
            ]
        }
    }
}
Last updated: 2/22/2025

Publisher info

hanweg's avatar

Hanweg Altimer

4
followers
5
following
7
repos

More MCP servers built with Python

composer-trade-mcp

Create, backtest, and execute trades directly in one chat box. The Composer MCP Server gives LLMs the power to backtest investment ideas and execute automated trading strategies. Trade across stocks, ETFs, and crypto directly in Claude.

By https://github.com/ronnyli
slidespeak-mcp

An MCP to generate presentations with AI. Create and edit PowerPoint presentations with AI.

By https://github.com/SlideSpeak
PaddleOCR

The PaddleOCR MCP server brings enterprise-grade OCR and document parsing capabilities to AI applications. Built on PaddleOCR — a proven solution with 50,000+ GitHub stars, deeply integrated by leading projects like MinerU, RAGFlow, and OmniParser— with targeted optimizations based on the MCP concept.

By PaddlePaddle