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by rhish9h • Tools & CLI
A lightweight MCP server that applies 10 common image filters via JSON-RPC over STDIO, suitable for integration with Claude Desktop and other agents.
Apply common image transformations (grayscale, blur, sharpen, etc.) to user-provided images programmatically.
An STDIN/STDOUT MCP-compatible image-processing backend to integrate with Claude Desktop or other local agent runners.
A simple, extensible filter pipeline for prototyping and testing image-processing features with included unit and integration tests.
This project implements a Model Context Protocol (MCP) server that exposes ten image filters (grayscale, sepia, blur, sharpen, edge detection, invert, emboss, contour, smooth, solarize) using Python and the Pillow library. It communicates using JSON-RPC 2.0 over STDIN/STDOUT, making it easy to connect to Claude Desktop or other agent frameworks. The repository includes filter implementations, tests, example scripts, and instructions for running and extending the server, enabling quick prototyping and integration of image-processing capabilities into agents.
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