Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
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
Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.
A 🇨🇳 and 🇺🇸🇬🇧 translator in your command line, powered by iciba, youdao and LLM.
Your AI skills and agents, finally organized.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!
Get your animations easily done with only Tailwind CSS classes.
SkillsBench evaluates how well skills work and how effective agents are at using them.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
Easy AI 让 AI 学习变得真的简单。 一个面向 AI 学习者、开发者和创作者的知识网站。
critique Beautiful diff viewer for terminals, web previews, and agents.