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.

A ready-to-use MCP server template that provides the ability to quickly set up a local AI-assisted development environment, with built-in documentation tools for various technologies and an extensible architecture.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

40ants-lisp-dev-mcp is an MCP server that provides tools for large language models (LLMs) to interact with a running Lisp image. It supports running in stdio or HTTP stream modes, allowing LLMs to call Lisp functions, obtain documentation, evaluate code, etc., facilitating AI-assisted programming in the Lisp development environment.

An AI-assisted development environment based on VS Code development containers, integrating the MCP server to enable interaction with Claude for file system and shell operations.

This project is a Python-based MCP server for integrating custom tools in AI-assisted development environments, providing addition operations and API key retrieval functions.

This project provides an AI-assisted MCP server for the DevContainer environment, supporting file system operations, directory management, and security mode switching to achieve seamless collaboration between the AI assistant and the containerized development environment.