# AI assistance

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.

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the Context7 service to provide the latest documentation support for the assistant, solving the problem of LLMs using outdated information.

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.

The PowerPlatform MCP server is a tool that provides intelligent access to PowerPlatform/Dataverse entities and records, supporting metadata exploration, relationship mapping, and AI - assisted query building.

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

A Model Context Protocol (MCP) server designed for BigQuery that helps AI agents obtain database content information to optimize SQL queries.

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.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

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.

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.

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.

GH_mcp_server is a tool that directly interacts with Rhino and Grasshopper through LLM, supporting the analysis of 3DM files, 3D modeling, and the automatic generation of GHPython code for Grasshopper.

A GDB/MI server based on the MCP protocol, providing remote application debugging functions and supporting an AI assistant

XRAY MCP is a progressive code intelligence tool designed for AI assistants. It provides structured code analysis capabilities through ast-grep, helping AI understand the code repository structure, symbol relationships, and change impacts without complex configuration or a language server.

Sketch Context MCP is a model context protocol server used to integrate Sketch design files with IDEs such as Cursor, enabling an AI - driven workflow from design to code, and supporting real - time two - way communication and design element operations.

A Go code graph analysis tool that provides code understanding capabilities for AI assistants through the MCP protocol, supporting code structure visualization and intelligent queries

HackerMCP is a module designed for AI assistants to access and utilize common penetration testing and security tools such as Nmap and Metasploit Framework, providing a simple interface to enhance the security testing capabilities of AI systems.

Lucidity is a Model Context Protocol (MCP) server that aims to improve the quality of AI-generated code through intelligent prompt analysis. It provides structured guidance to help identify and resolve code quality issues, supports multiple programming languages, and can seamlessly integrate with AI assistants.

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

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

The Currents MCP Server is a service that provides test result context for AI agents, helping to analyze and optimize failed tests in CI by connecting to the Currents platform.

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.

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.

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.

This is a TypeScript/Node.js template project for building MCP servers, providing a standardized structure, best practices, and example implementations. It includes functions such as tool development, resource management, and error handling, and supports AI-assisted development.

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.

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

This project provides a set of development toolkits, including AI - assisted templates and utility scripts, to improve development efficiency and maintain code consistency.

The Suncture Healthcare MCP Server is a healthcare service tool based on the Model Context Protocol, providing functions such as medical information query, symptom analysis, and BMI calculation for AI assistants. It supports installation via npm or Docker deployment.

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.