# AI assistance

The Context7 MCP Server is an extension developed for the Zed Editor. It integrates the Context7 service to provide the latest documentation support for the assistant, solving the problem of LLMs using outdated information.

The GDB MCP server is a tool that supports AI-assisted debugging, enabling interaction with GDB through the MCP protocol and simplifying multi-architecture and remote debugging processes.

An AI-assisted tool for CTF problem-solving and problem-setting

Claude Server MCP is an early - stage context management server that provides cross - session persistent context management for Claude, supporting project - based organization and conversation continuity.

The MCP API Server Template is a tool for API integration that, with AI assistance, quickly encapsulates external APIs into standardized MCP services.

JADX-MCP-SERVER is a Python server that works with the JADX-AI-MCP plugin, enabling LLM (such as Claude) to analyze decompiled Android APK code in real-time through the MCP protocol, providing reverse engineering functions such as vulnerability detection and code understanding.

This project enables large language models to directly understand and generate audio effect modules in the Max audio processing software through the Model Context Protocol (MCP). It supports explaining, modifying, and creating audio effect modules and provides an interaction interface with LLMs.

Mindpilot MCP is a visual code analysis tool that generates architecture diagrams, code flowcharts, etc. through an AI agent to help developers understand complex code structures, and supports local processing and multi-client collaboration.

An MCP server based on Playwright that provides browser automation capabilities for LLMs

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

apktool-mcp-server is an MCP server based on Apktool, integrating large language models (such as Claude), providing real-time reverse engineering support, including vulnerability analysis, manifest parsing, and code review.

A headless code editor service based on the Language Server Protocol (LSP) and Model Context Protocol (MCP), providing language intelligence support and AI-assisted code operation functions.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching, downloading, and accessing the content of medical preprints through the Model Context Protocol, and supporting local storage and academic analysis.

A knowledge management server based on the Model Context Protocol that provides centralized storage of project documents, a searchable knowledge base, integrated TODO management, and Git version control functions, and provides persistent memory support for AI assistants.

LibreSprite-MCP is a Model Context Protocol server designed for LibreSprite, supporting assisted editing, design, and scripting through prompts.

The Kali Linux MCP project encapsulates Kali security tools through the Flask API and provides an MCP bridge service, supporting AI-assisted security testing workflows

The Stata MCP extension provides Stata integration for VS Code and Cursor, supporting command execution, AI assistance, and real-time output viewing.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.

The VSCode context MCP server provides VSCode environment access and file operation functions for AI assistants, enabling intelligent interaction between the development environment and AI.

This project provides guides and materials for quickly building MCP servers using Cursor's AI capabilities, including detailed construction steps and example API documentation to help users easily create MCP servers.

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.

The Apktool MCP Server is an Android APK analysis service based on the Model Context Protocol. It integrates the Apktool tool and Gemini CLI artificial intelligence, providing functions such as APK decompilation, security analysis, privacy auditing, and reverse engineering guidance.

An intelligent code analysis and debugging service based on the Perplexity AI API, seamlessly integrated with the Claude desktop client via the MCP protocol, providing functions such as error analysis, pattern recognition, and solutions.

An MCP server designed for AI development and QA, providing AntV documentation context and code examples of the latest APIs, supporting visualization libraries such as G2, G6, and F2.

This project provides an interface for AI assistants to access Haskell documentation. By retrieving authoritative documentation on Hackage in real - time, it solves the problem of insufficient training data for AI in the Haskell field and improves the accuracy of code generation and explanation.

playwright-mcp is a tool that provides AI assistants with real-time access to browsers and can generate reliable Playwright test scripts.

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.

Memory Bank MCP is a plugin that helps AI assistants maintain project context through structured Markdown files, providing a systematic way to track project goals, decisions, progress, and patterns.