PDF to PNG
A server that converts PDF files to PNG images. Requires the poppler library to be installed.
PDF to PNG MCP Server
A Model Context Protocol (MCP) server that provides PDF to PNG conversion capabilities. This server allows you to convert PDF documents into PNG images with a simple MCP tool call.
Prerequisites
This server requires the Model Context Protocol (MCP). If you're new to MCP, start by installing the SDK:
uv pip install mcp
Additional requirements:
- Python 3.10 or higher
- uv package manager
- poppler (required for pdf2image)
Installing Poppler
- Windows: Download and install from poppler-windows
- macOS:
brew install poppler - Linux:
sudo apt-get install poppler-utils
Installation
-
Clone this repository:
git clone https://github.com/truaxki/mcp-Pdf2png.git cd mcp-Pdf2png -
Create and activate a virtual environment:
uv venv # Windows .venv\Scripts\activate # Unix/macOS source .venv/bin/activate -
Install the package:
uv pip install -e .
Usage
1. Configure MCP Client
Add the server configuration to your claude_desktop_config.json. The file is typically located in:
- Windows:
%APPDATA%\Claude Desktop\config\claude_desktop_config.json - macOS/Linux:
~/.config/Claude Desktop/config/claude_desktop_config.json
{
"mcpServers": {
"pdf2png": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-Pdf2png",
"run",
"pdf2png"
]
}
}
}
Note: Replace /absolute/path/to/mcp-Pdf2png with the actual path where you cloned the repository.
2. Using the Server
The server provides a single tool pdf2png with these parameters:
read_file_path: Absolute path to the input PDF filewrite_folder_path: Absolute path to the directory where PNG files should be saved
Output:
- Each PDF page is converted to a PNG image
- Files are named
page_1.png,page_2.png, etc. - Returns a success message with the conversion count
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
相關伺服器
Everything Search
Fast Windows file search using Everything SDK
MCP PDF Reader
Extract text, images, and perform OCR on PDF documents using Tesseract OCR.
Filesystem MCP Server
A Ruby server for performing filesystem operations like reading and writing files within specified directories.
OpenPyXL MCP Server
An MCP server that wraps the OpenPyXL library, enabling clients to retrieve data from Excel files.
Fast Filesystem MCP
A high-performance Model Context Protocol (MCP) server that provides secure filesystem access and AI-optimized code development tools for Claude and other AI assistants.
FTP Access
Provides access to an FTP server for file operations.
DLIS MCP Server
Analyze and extract information from DLIS (Digital Log Interchange Standard) files, including channel data and metadata.
Excel Analyser MCP
Read and analyze Excel (.xlsx) and CSV (.csv) files with scalable, chunked, and column-specific data access, ideal for large datasets.
302AI File Parser
Parses various file formats using the 302.AI API, requiring a 302AI_API_KEY.
IDE MEMORY MCP
IDE Memory MCP gives AI coding agents a persistent memory layer that works across any IDE supporting the Model Context Protocol. Write project context once — the AI remembers it everywhere.