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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).

Draw.io Model Context Protocol (MCP) Server

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia.

Lighweight CLI to interact with MCP servers

A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

Meta Ads (Facebook/Instagram) MCP server for Claude, ChatGPT, Perplexity & Cursor — the Meta node of Pipeboard’s 5-platform family (+ Google, TikTok, Snap, Reddit).

Official MCP server implementation for accessing Open Targets Data

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management.

A specialized MCP server for Payload CMS 3.0 Validate code, generate templates, and scaffold projects following best practices

A Model Context Protocol (MCP) server implementation that provides Google News search capabilities via SerpAPI integration.

Geocoding MCP server with GeoPY!
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)