Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A remote MCP server for personal nutrition tracking — log meals with calories, macros, fiber, total sugar and caffeine, log water and body weight, review nutrition history, and import an existing...
Model Context Protocol for Wikidata
CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.
Let AI agents do real WordPress work via MCP. 61 core abilities, 12 add-ons, 280+ ecosystem abilities for content, builders, SEO, security, files, and operations.
📈 - get comprehensive stock market data, news, financials, and more.
This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP[^1] server features.
This is an MCP server implemented using the RMCP (Rust Model Context Protocol) library for operating Containerd.
将本地 MCP 服务器无缝接入各大网页版 AI 助手的浏览器扩展 本项目由 OPENCODE + Claude Opus 4.6 完成
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
Samples for MCP servers on Windows
one go multi-agent system like manus using any MCP you want with configuration // 一个go语言编写的类似manus的多智能体系统，可以通过配置连接任何你想使用的MCP组件
An extension to MCP (Model-Context-Protocol) that enables two-way asynchronous communication between LLMs and tools through the already existing MCP transport - no additional transport layer needed.
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)