# AI assistance

A lightweight server that exposes Mac system information through simple APIs to help AI assistants obtain real-time hardware and system data, mainly used for AI and deep learning experiments by Mac users.

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

Tripo MCP Server is an interface tool that connects AI assistants with Tripo AI, supporting the generation of 3D assets from natural language and importing them into Blender.

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.

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.

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.

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.

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.

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.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

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

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).

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

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.

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

Payload MCP is an AI - assisted tool server developed specifically for Payload CMS. It provides code generation, validation, project building, and query analysis functions through the standardized Model Context Protocol (MCP) to help developers more efficiently build and manage Payload CMS projects.

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.

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.

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.

This project provides a service based on the Model Context Protocol (MCP) that allows AI assistants to search for and read papers through the PapersWithCode API, and view related code repositories for more context information.

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.

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.

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.

A web research MCP server designed for Claude, providing real - time web information retrieval functions

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

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

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.

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

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.