Enables annotating SVG paper figures in the browser by picking elements or drawing regions, and feeds those annotations back to Claude via MCP so it can edit the underlying SVG or generation scripts, with automatic page refresh on changes.
Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.
Converts SVG content into React components with configurable options including TypeScript generation, React Native support, optimization, and formatting through SVGR.
An MCP server for Claude Code that enables the creation and manipulation of professional-grade SVG graphics using features like layer management, complex path drawing, and animations. It includes AI-assisted design capabilities for color suggestions and layout optimization, supporting exports to SVG and PNG formats.
Enables AI coding tools to search, inspect, recommend, and export SVG icons from svgicons.com for use in design systems, frontend projects, and AI-assisted workflows.
Enables high-quality conversion of SVG files to PNG, ICO, and JPG formats with optimized Chinese character rendering. Supports single file, batch, and string-based conversions using multiple rendering engines including Cairo, SVGLib, and PIL.
Enables a side-panel companion that watches your coding session and provides context-aware answers about your codebase and session state through a small, token-cheap MCP interface.
Enables creating and iterating on animated SVG diagrams from text input, photos of sketches, and YAML specifications, with support for shapes, connections, SMIL animations, and file output.
A Unity Editor command bridge that uses JSON files under .codex/unity-commands for request/response, enabling tools to check Unity status, execute editor commands, parse test results, and capture screenshots.
Enables creation, validation, rendering, and optimization of SVG images with conversion capabilities to PNG, React components, React Native components, and Data URIs.
A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).
Transforms business descriptions into structured AIS (Autokirk Interaction Standard) blueprints that organize operations, divisions, and AI opportunities using the Autokirk Founder Operating Format.
A Model Context Protocol server that converts SVG code to PNG images, offering two conversion methods (CairoSVG and Inkscape) with support for custom working directories.
Enables AI assistants to query, filter, and analyze local HTTP capture records and REST API test data from the Reqable tool. It provides read-only access to inspect request/response details, headers, and statistics through natural language.