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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Yet another minimal MCP server for Unity
🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.
This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing.
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.
An MCP (Model Context Protocol) server implementation for Listmonk, providing programmatic access to newsletter and mailing list management functionality.
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.
This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.
This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.
This repository contains an extension of Azure Functions to enable support for Model Context Protocol (MCP).
Agent Skills
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.
Your tokens get reset every week, you might as well use them. Nightshift runs overnight to find dead code, doc drift, test gaps, security issues, and 20+ other things silently accumulating while you...
Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.
- Extensibles Validation Plugins. - Sync & Async Validation (w/ Promises & automatic errors). - Nested Fields (w/ Serialization & Validation).
Lakehouse graph database for context assembly & multi-agent coordination Multimodal retrieval · Git-style branching · object-storage native
Blossom Carousel is the first carousel library that builds on native browser scrolling instead of replacing it.
Jolt is a zkVM (zero-knowledge virtual machine) for RISC-V, built to be the simplest, fastest, and most extensible general-purpose of its kind.
The official place to start playing the Numerai tournaments.
Foundation Lab is a native iOS and macOS workbench for learning, testing, and shipping with Apple's Foundation Models framework.
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。
Fast, AI-ready, and zero-config. Free and open source, forever.
🌩️ Be like a god to a town of agents. Pause time. Whisper to a soul. Bend the next step. Reset the world — all from a single click.