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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
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.
Lighthouse for MCP — score any MCP server 0–100.
A collection of MCP servers for mainland China services. 支持 MCP 的国内服务一览。
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE
A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP.
The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge.
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.
A Model Context Protocol server implementation for DataHub.
An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...
An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.
Agent Skills
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.
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。
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.
License MIT · skills.sh Compatible Runtime
fly ai agent skill
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
橙皮书 (Orange Book) Series · by HuaShu (花叔)
vet supports special mode for Agent Skills. Run vet scan --agent-skill to scan an Agent Skill hosted in a GitHub repository.
EvoSkill: Automated Skill Discovery for Coding Agents
![NPM version][npm-url] ![Downloads][downloads-url] ![License][license-url] ![twitter][twitter] ![Discord Chat][discord-invite]
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.