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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
This project demonstrates the implementation of Model Context Protocol (MCP) for both local and remote server configurations using stdio and HTTP protocols.
Muppet is an open-source toolkit designed to simplify the entire lifecycle of your Model Context Protocol (MCP) servers—from development and testing to deployment.
* streamlit_app.py - Main web interface with beautiful UI * streamlit_app_backup.py - Backup version for safety
This is an LLM-powered application that allows users to execute terminal commands using simple English queries like:
Интеграционный сервер, использующий Model Context Protocol (MCP), для предоставления доступа к данным и функциям Bitrix24 для больших языковых моделей (LLM) и других AI-агентов.
Create your custom MCP server on Databricks Apps for tools, prompts, and claude slash commands
Today, we are moving beyond standard chatbots. In this hands-on lab, you will build a deterministic, multi-reasoning system using Google's Agent Development Kit (ADK) and the Model Context Protocol...
Ollama MCP is a tool for connecting Ollama-based language models with external tools and services using the Model Context Protocol (MCP).
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.
tutorial for mcp server development
Autonomous AI orchestration architecture combining with the for hands-free development workflows. This system leverages the Model Context Protocol (MCP) for seamless agent coordination.
Agent Skills
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
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。
· · · crafted on a 24×24 grid and trusted by 500,000+ developers.
Fast, AI-ready, and zero-config. Free and open source, forever.
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.
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.
zvm (Zig Version Manager) lets you easily install/upgrade between different versions of Zig.
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
Visual skill manager for AI agents. Desktop app and TUI.
基于 Vant 设计语言，为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。