Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
This project contains a .NET web app implementation of a Model Context Protocol (MCP) server. The application is designed to be deployed to Azure App Service.
Open Source Observability Platform for MCP Servers & Apps
A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.
Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.
A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.
ElysiaJS plugin for Model Context Protocol with HTTP transport
。在一个桌面应用中同时管理多个 AI 会话，提供结构化对话视图、看板式任务管理、实时状态监控、Agent 编排、工作流自动化和远程控制。
is a semantic testing framework for .NET — write AI tests in , run them with .
A quick pokemon demo to showcase MCP server, client, and host
Community version of MaxMCP-Dev-main
A powerful Model Context Protocol (MCP) server implementation for seamless Apollo.io API integration, enabling AI assistants to interact with Apollo.io data.
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
Agent Skills
Collection of Apify agent skills
Cursor plugin specification and official plugins
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
10 design principles for building agent-ergonomic apps.
Review pull requests for bugs, risky changes, missing tests, and release notes.
动手学CS146S中文版课程，包含assignments，vibe coding工具等，本项目将长期持续维护，致力于打造中文最好的vibe coding教程。