Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server implementation that integrates Nuclei, a fast and customizable vulnerability scanner, with the MCP ecosystem.
A tshark MCP server for packet capture and analysis
ToyAIKit is a minimalistic Python library for building AI assistants powered by Large Language Models (LLMs).
Model Context Protocol服务器，用于抓取微博用户信息、动态和搜索功能
A headless Ghidra server that speaks MCP (Model Context Protocol), giving AI agents full access to deep reverse-engineering workflows: program lifecycle, disassembly, decompilation, patching, types,...
Native dialog system for MCP (Model Context Protocol) servers.
Obsidian plugin bridging your vault with the RuVector Brain — DiskANN semantic search, AIDefence scanning, pi.ruv.io federated sync, DPO pairs, agent-shared MCP backend.
connects AI agents to ITASCA's numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the Model Context Protocol.
This project provides a Model Context Protocol (MCP) server for Archicad. It acts as a bridge, allowing AI agents and applications (like Claude for Desktop) to interact with running Archicad...
A Model Context Protocol (MCP) server for comprehensive threat modeling with automatic code validation.
An MCP (Model Context Protocol) server for interacting with LSP (Language Server Protocol) interface. This server acts as a bridge that allows LLMs to query LSP Hover and Completion providers.
A zero-dependency MCP and Local tool gateway: host your own tools in any language, forward and curate tools from other MCP servers, expose them leanly to cut agent token cost, gate every call through...
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!