PixelLayer
Local image tools for agents: background removal, conversion, optimization, and vectorization with file-path input and output.
PixelLayer gives AI agents image tools within the development workflow. Agents send authorized file paths and receive results without loading base64 images into the conversation. The MCP server supports background removal, cropping, conversion, optimization, resizing, and SVG vectorization.
In a documented benchmark, one operation used about 91 context tokens; the estimated comparison with base64 image transfer indicates a 99.99% reduction. With the model already loaded, background removal took about 1.9 seconds in the tested environment. Batch processing reuses the model across images and reduces repeated agent calls.
The project runs locally with access limited to configured workspaces and loads models on demand. Its public repository contains the code, documentation, and architecture diagram; the landing page shows visual results and setup options.
Solution overview
