Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Burp MCP proxy with compression pipeline — reduces 182KB responses to ~4KB
AI agents control Figma through code execution.
arcticdb-mcp An MCP server for structured read/write access to ArcticDB. Overview • Demo • Quick Start • Configuration • Tools • Development
Infinite text-free AI image generator + SQLite-indexed multilingual vault & gallery — with a local MCP your AI can drive.
Local-first multi-runtime AI cockpit (CLI + desktop + MCP). War-rooms, review receipts, open multi-model coding benchmarks. MIT.
Security review mascot logo for the DocSentinel console and documentation.
MCP Slim Guard gives a host one deliberate way to reach authorized upstream tools. It keeps input schemas intact, validates calls before the upstream is invoked, and can recover an oversized result...
CLI and MCP server for discovering and calling Google APIs from agents and scripts.
CLI toolkit for Dynamics 365 Finance & Operations X++ development. Indexes AOT metadata, scaffolds objects, and wires up AI agents via a stable JSON envelope and MCP.
Local MCP server for COMSOL modeling workflows, validation, and RAG-assisted multiphysics automation.
An MCP server for AI agents to automate token swaps on Uniswap DEX across multiple blockchains.
Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all.
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