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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
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.
An MCP for Godot that lets you create and edit games in the Godot game engine with tools like Claude
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
Spec-Driven Development MCP Server, not just Vibe Coding
MCP server for Claude to access Outlook data via Microsoft Graph API
This repository contains Model Context Protocol (MCP) servers that enable MCP clients (like Claude Desktop or the cline.bot VS Code extension) to access Google's security products and services:
MCP server for Coolify — 42 optimized tools for managing self-hosted PaaS through AI assistants
Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.
MCP server retrieving transcripts of YouTube videos
一款支持godot开源引擎的的mcp插件，支持常见godot引擎操作，一键配置服务。This is an MCP plugin that supports the Godot open-source engine, offering support for common Godot engine operations and one-click service configuration.
A lightweight MCP server that provides Claude with a private journaling capability to process feelings and thoughts
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)