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AI-редактор кода, часто используемый с developer MCP.
MCP Servers

An MCP server that enables AI assistants like Claude to interact with Anki flashcard decks through the Model Context Protocol (MCP).

WIP: We are building a benchmark for evaluating the optimizations for OS!

A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API.

MCP Client 是一个基于 Model Context Protocol 的 Node.js 客户端实现(使用 Function Calling),它允许您的应用连接到各种 MCP 服务器,并通过大语言模型(LLM)与这些服务器交互。MCP(模型上下文协议)是一个开放协议,用于标准化应用程序向 LLM 提供上下文的方式。

A Model Context Protocol (MCP) server providing advanced options analysis and strategy evaluation through Yahoo Finance.

It's time to push beyond MCP Servers... Right? Let's breakdown real engineering trade offs between MCP, CLI, File System Scripts, and Skills based approaches for building reusable toolsets for your...

A self-hosted MCP (Model Context Protocol) server providing fast search and reliable web scraping using SearXNG + Crawl4AI stack.

Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages

An MCP server that provides ripgrep (rg) search capabilities to any MCP client such as Claude.

https://github.com/user-attachments/assets/89df70b0-65d1-461c-b4ab-84b2087136fa

An MCP (Model Context Protocol) server for interacting with Skool.com communities.

Convert any MCP server into a Claude Skill with 90% context savings.
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)