A Model Context Protocol server that enables LLMs to create, modify and manipulate Excalidraw diagrams through a structured API, supporting element creation, styling, organization, and scene management.
A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.
A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.
A Model Context Protocol server that connects AI tools and LLMs to Figma designs, enabling them to extract design data, analyze design systems, and generate development documentation.
A simple application demonstrating Model Context Protocol (MCP) integration with FastAPI and Streamlit, allowing users to interact with LLMs through a clean interface.