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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
An MCP server for The Movie Database (TMDB) API. It provides movie and TV search, streaming availability, cast and crew details, and recommendations for assistants such as Codex and Claude Desktop.
1. Add the MCP server to your MCP servers:
This library is the Client library for a Minecraft Game Skills and MCP Integration.
clinicaltrialsgov-mcp-server Search ClinicalTrials.gov trials, retrieve study details and results, and match patients to eligible trials via MCP. STDIO or Streamable HTTP.
@cyanheads/mcp-ts-core Agent-native TypeScript framework for building MCP servers. Build tools, not infrastructure.
An MCP server for OBS Studio that provides tools to control OBS via the OBS WebSocket protocol.
MCP server for Unreal Engine that uses Unreal Python Remote Execution
Control your Apple HomeKit smart home from AI assistants, the terminal, and automation tools.
serial-mcp-server provides serial port access for AI workflows in two forms:
MCP Server for the Codacy API, enabling access to repositories, files, quality, coverage, security and more.
MCP Observatory is the CI-native security tool for teams shipping custom MCP servers. Test during development, catch schema drift, simulate attacks, and generate compliance evidence — before agents...
MCP server that gives AI agents direct access to The Open Network (TON) — no HTTP gateways in the middle.
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)