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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
This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.
A Model Context Protocol (MCP) server that connects your Whoop health data to Claude. Designed to be hosted remotely and used as a custom connector in Claude.ai.
WeMake AI delivers production-ready Model Context Protocol (MCP) servers designed for enterprise environments, with a focus on GDPR compliance, German healthcare standards, and zero-downtime...
MCP is a Go implementation of the Model Context Protocol — a standardized way for applications to communicate with AI models.
Bu proje, modern yapay zeka uygulamaları için geliştirilmiş, durum bilgisi tutabilen (stateful), güvenli, optimize edilmiş ve ölçeklenebilir bir aracı (gateway) sunucusudur.
A Model Context Protocol (MCP) server that connects Claude directly to your Shopify store. Manage products, orders, customers, collections, inventory, and fulfillments — all through natural language.
This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.
An Android library that integrates the MCP Kotlin SDK to enable Android applications to host MCP (Model Context Protocol) servers.
A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.
🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.
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Turn any MCP stdio server into HTTP endpoints your web app can call. Per-user session pooling, real timeout handling with background job fallback, live dashboard.
Agent Skills
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
EvoSkill: Automated Skill Discovery for Coding Agents
橙皮书 (Orange Book) Series · by HuaShu (花叔)
zvm (Zig Version Manager) lets you easily install/upgrade between different versions of Zig.
A cross-platform desktop app (Tauri + React) for installing, organizing, updating, and syncing Agent Skills to multiple AI coding tools' global or project-level skills directories.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
为纯文本模型"看图“设计更好的视觉工具箱和技能，支持多图理解，图片问答，前端UI还原、GUI 自动化等，并可选无缝接入多个主流agent，直接识别粘贴图片｜ A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and...
The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.