Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

For MCP users, lets LLM clients such as Cursor and Claude Code design Cisco-style networks directly through Model Context Protocol tool calls.

A Model Context Protocol (MCP) server for maigret, a powerful OSINT tool that collects user account information from various public sources.

Cocos Creator 2.4.x MCP 桥接插件 —— 启动本地 HTTP 服务,让 Claude 等 AI 通过 Model Context Protocol 直接操控编辑器:场景节点管理、组件增删改查、预制体离线修改、资源管理、项目构建等 30+ 工具全自动化。—— QQ群:788307395

A Jetbrains IDE IntelliJ plugin aimed to provide coding agents the ability to leverage intelliJ's indexing of the codebase

🔧 反检测浏览器 MCP Server | 35 个 JS 逆向工具 + C++ 引擎层 JSVMP 指纹追踪

Bu proje, Adalet Bakanlığı'na ait Mevzuat Bilgi Sistemi'ne (mevzuat.gov.tr) erişimi kolaylaştıran bir FastMCP sunucusu oluşturur.

Public Solana MCP registry metadata for Vybe Solana API

AI image generation MCP server powered by Google Gemini, with smart model selection and 4K output

MCP server that provides LLMs with tools for interacting with EVM networks

12306 MCP Server 是一个基于 Model Context Protocol (MCP) 的高性能火车票查询后端系统。它通过标准化接口提供官方 12306 的实时数据服务,包括余票查询、车站信息、列车经停站、中转换乘方案等核心功能。

lightweight Python-based MCP (Model Context Protocol) server for local ComfyUI

MCP server for searching and retrieving Scientific Agent Skills using vector search
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

橙皮书 (Orange Book) Series · by HuaShu (花叔)