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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
The Meshery MCP Server extension - an MCP server that streamlines and accelerates creating Meshery designs
Self-hosted Puppeteer MCP server with remote SSE access, API key authentication, and Docker deployment. Complete tool suite for browser automation via Model Context Protocol.
A MCP Server that provides browser access through playwright with "stealth mode" enabled.
MCP-SafetyBench is a comprehensive benchmark designed to systematically evaluate the safety and robustness of LLM agents operating in the Model Context Protocol (MCP) ecosystem.
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
Lighthouse for MCP — score any MCP server 0–100.
A collection of MCP servers for connecting real-world tools and data to LLMs.
one go multi-agent system like manus using any MCP you want with configuration // 一个go语言编写的类似manus的多智能体系统，可以通过配置连接任何你想使用的MCP组件
💫 Tachyon MCP Runtime for Java and Kotlin - Model Context Protocol (MCP) server with Streamable HTTP, native Netty transports, tools, tasks, resources, prompts, completions, resumable sessions, and...
An example of the Epic Stack with a /mcp endpoint
Yet another minimal MCP server for Unity
LLM Gateway to call 100+ LLM APIs in OpenAI format with MCP supported.
Agent Skills
Fast, AI-ready, and zero-config. Free and open source, forever.
agent skills for vibe motion
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
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。
Visual skill manager for AI agents. Desktop app and TUI.
License MIT · skills.sh Compatible Runtime
fly ai agent skill
NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...
Lakehouse graph database for context assembly & multi-agent coordination Multimodal retrieval · Git-style branching · object-storage native
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.
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
About • How It Works • Documentation • Quickstart • Skills • Templates