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開発者向け MCP サーバーとよく使われる AI コードエディタ。
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
Beautiful UI components built for Better Auth.
Adala is an **utonomous **ta (**abeling) **gent framework.
Your AI skills and agents, finally organized.
— The node schema bundled with n8n-as-code is built against the latest stable release of n8n. Keep your n8n instance up to date for best generation and validation results.
Beautiful React Native components. One command away.
is the open-source, MIT-licensed agent skill powered by the world's first agentic AI user researcher.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
A collection of AI agent skills focused on resume optimization, job applications, and career development.
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。
SkillsBench evaluates how well skills work and how effective agents are at using them.
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.
The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.