# AI Programming

codemcp is a tool that transforms Claude Desktop into a pair programming assistant, allowing users to directly let Claude implement functions, fix errors, and refactor code on the local code repository.

Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

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.

Context7 MCP is a service that provides real - time code documentation for AI programming assistants. It directly obtains the latest library documentation and code examples through the Model Context Protocol, solving the problem of LLM using outdated information. It supports installation in multiple development environments and clients.

This project is an experimental Aider MCP server used to offload AI programming tasks to the Aider open - source assistant to improve development efficiency and flexibility. It supports multiple AI models, provides code modification and model list functions, and integrates with Claude Code through the MCP protocol.

Calva MCP Server is a VS Code extension that provides AI programming assistance and REPL interaction capabilities for Clojure/ClojureScript developers, enabling AI to execute and test code in real - time and improving programming efficiency.

A server based on the MCP protocol, used to integrate Codelogic's software dependency data into AI programming assistants, providing code method and database impact analysis tools.

The Framelink Figma MCP server provides access to Figma design data for AI programming tools and simplifies the API response to improve the accuracy of AI in implementing designs.

A memory system that enhances AI programming capabilities through multi-type database integration, including vector databases, SQLite, and knowledge graphs, for storing and retrieving code patterns, algorithms, and relationships between programming concepts.

A code problem-solving server that combines multiple AI sources

Cursor MCP is a tool that enables seamless integration of Claude AI with desktop applications. It bridges AI capabilities with development workflows through the Cursor IDE, providing real-time programming assistance and context-aware code suggestions.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

mocxykit is a middleware for front - end development services, mainly used for proxy requests and MOCK data. It supports visual management and dynamic switching, and integrates functions such as ApiFox synchronization, MCP protocol, and faker data generation. It is suitable for various front - end development environments.

An MCP server that provides Zig language tool support, including code optimization, compute unit estimation, code generation, and best practice recommendations.

An MCP server integrated with an AI code editor that optimizes Cursor's proxy capabilities through the million - token context window of Gemini 2.5 and task management features.

The Framelink Figma MCP server is a middleware service that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one-click conversion from design to code.

A Python server based on FastMCP, providing customizable prompt templates, resource, and tool integration for continue.dev.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

Flutter Inspector is an MCP server that connects Flutter applications with AI programming assistants, providing functions for debugging and inspecting Flutter applications.

The LSP - MCP server is a bridge service that enables LLM to query code hover information and completion suggestions through the LSP protocol

A server based on the MCP protocol that provides code call graph analysis capabilities for LLMs through the nuanced library

The Dart MCP Server is a server based on the Model Context Protocol (MCP) that provides access to Dart SDK commands for AI development assistants, supporting core development functions such as code analysis, compilation, and formatting.

CodeMasterPro is an AI-based advanced programming assistant designed to enhance the development experience of software engineers. It features intelligent debugging, multi-language support, real-time document query, etc., and can be quickly deployed via Docker.

A VS Code extension that implements the MCP protocol server, allowing AI clients to directly operate the code editor

JupyterMCP is an integration project that connects Jupyter Notebook with Claude AI, enabling bidirectional communication via the Model Context Protocol and supporting AI-assisted code execution, data analysis, and visualization operations.