Why this server?

This server enables AI assistants like Claude to perform Python development tasks, which is crucial for implementing animations using libraries like GSAP and Framer Motion.

Why this server?

Wraps the Riza Code Interpreter API, allowing the execution of code snippets which would be helpful for testing and implementing animation code.

Why this server?

MCP Server for running code snippet and show the result, which can be used to quickly test and debug animation code implementations.

Why this server?

Provides tools for web content retrieval, PDF processing, and Word document parsing which could be helpful for integrating dynamic content into animations.

Why this server?

Enables interaction with Jupyter notebooks, supporting code execution and markdown insertion within JupyterLab environments, ideal for prototyping and testing animation code.

Why this server?

Integrates Flux's image generation and manipulation features into AI coding assistants, enabling text-to-image and image control workflows, which could be useful for creating visual elements for animations.

Why this server?

A TypeScript-based MCP server that provides tools for making precise line-based edits to text files, useful for tweaking animation code with GSAP and Framer Motion.

Why this server?

This project aims to build a Claude Code MCP server and implement its associated tools (explain_code, review_code, fix_code, edit_code, test_code, simulate_command, your_own_query). This allows you to do more detailed programming tasks with the Claude models.

Why this server?

Provides shell and file edit capabilities tightly coupled to provide a powerful coding experience. You can work with different modes: architect and code-writer for separate plan and implementation phase. You can get it to invoke any cli command, e.g., compiling, type checking, linting, github cli, python