This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

The Sandbox Fusion MCP Server is an implementation that provides code interpreter functionality for large language models. It supports code execution in multiple programming languages and Jupyter notebook operations, and communicates with clients through stdio interaction.

Code Index MCP is a Model Context Protocol server that helps large language models index, search, and analyze code in project directories. It supports multiple programming languages and persistent storage.

VectorCode is a code repository indexing tool designed to optimize the prompt construction of large programming language models (LLMs) by indexing and providing code repository information. It supports multiple embedding engines, provides command - line tools and Neovim plugins to help developers more efficiently use project context to improve the quality of model output.