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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

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

RobotMCP (rf-mcp) is a Model Context Protocol (MCP) server that hands your coding agent the keys to Robot Framework.

A Model Context Protocol (MCP) server implementation that integrates with multiple search providers for web search, local browser search, URL discovery, and scraping capabilities with agent-browser.

Connect your AI assistant to Forgejo repositories. Manage issues, pull requests, files, and more through natural language.

Connect AI assistants directly to the Unreal Editor via MCP

Please use the new Readwise MCP server instead: The new server is hosted — no local installation needed.

Unity Editor を Model Context Protocol (MCP) 経由で AI エージェントに、CLI 経由で人間とスクリプトに開放するフレームワークです。

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation.

Give AI assistants direct access to the Gentleman Programming Book

Give AI agents real phone numbers, SMS, and voice calls via the Model Context Protocol.

Enhanced Model Context Protocol (MCP) server for OmniFocus featuring , hierarchical task display, AI-optimized tool selection, and comprehensive task management.

The goal is to enable natural language control over complex security workflows, making pentesting capabilities more accessible and integrated into AI-driven environments.
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)