Image Convertor Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Image Convertor Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server that provides comprehensive image conversion and processing tools.
pip install image-convertor-mcpgit clone https://github.com/beta/image-convertor-mcp
cd image-convertor-mcp
pip install -e .No special configuration required. The server runs with default settings.
{
"mcpServers": {
"Image Convertor MCP": {
"command": "uvx",
"args": ["image-convertor-mcp"],
"env": {}
}
}
}auto_convert_image(input_path:str, target_format:str, output_dir:str=None, file_name:str=None) - Convert a single image to target formatauto_convert_folder(input_folder:str, target_format:str, output_dir:str=None) - Convert all images in a folder to target formatconvert_images_to_gif(input_folder:str, custom_name:str=None, duration:int=100, loop:int=0, color_mode:str="RGB", color_count:int=256, brightness:float=1.0, contrast:float=1.0, saturation:float=1.0, ping_pong:bool=False, easing:str="none", easing_strength:float=1.0) - Convert multiple images to animated GIFconvert_images_to_pdf(input_folder:str, output_dir:str=None, output_name:str=None, sort_order:str="alphabetical", page_size:str="A4", dpi:int=300, fit_to_page:bool=True, center_image:bool=True, background_color:str="white") - Combine multiple images into PDFimage-convertor-mcpThe server runs over stdio and can be integrated with any MCP-compatible client.
This project is licensed under the MIT License - see the LICENSE file for details.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.