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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

This is a simple MCP (Model Context Protocol) server that connects to the PokéAPI and exposes tools that an LLM can use to fetch Pokémon data, list popular Pokémon, and build a tournament squad.

A and to interact with Model Context Protocol (MCP) servers.

AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications...

The Weaviate Model Context Protocol (MCP) server is now built into Weaviate itself — there is nothing to install or run separately.

AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation

An Android library that integrates the MCP Kotlin SDK to enable Android applications to host MCP (Model Context Protocol) servers.

A crate for making MCP (Model Context Protocol) compatible programs with rust

Remote MCP server with auth gated by Azure API Management

A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.

A simple Model Context Protocol (MCP) server for Mesh.

Anthropic’s Model Context Protocol implementation for Oat++

A cross-platform AI desktop chat cowork app supporting 10+ LLM providers, RAG knowledge base, and MCP tools. Built with Electron + React + Mastra.
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)