Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A complete, driver-based RAG (Retrieval-Augmented Generation) pipeline for Laravel. Built on Prism PHP for provider-agnostic LLM and embedding support.
Transparent MCP proxy that reduces the token cost of large upstream tool responses for nearly every other MCP server imaginable.
MCP server for Things 3 via Things Cloud API
Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.
Heimdall — MCP server for the Apple App Store Connect API and App Store Server API (StoreKit 2). 890 tools across 13 profiles, generated from Apple's OpenAPI spec, plus one-call macros for worldwide...
Autonomous agents that find your clients on LinkedIn, on a server you own. An MCP server with 26 tools, so Claude or Cursor can run it. Self hosted LinkedIn outreach, AGPL, one command install.
Add vision to text-only models in Opencode (, ) — , no manual file saving.
This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.
Build WordPress sites with your AI
Agent Skills
A collection of agent skills that extend capabilities across AI engineering, development, and tooling.
- [2026/05/01] 🔥 (📃Paper) has been released.
Agent skills for the fallow codebase intelligence layer for TypeScript and JavaScript.
Skills for the Gemini API, SDK and model/agent interactions
The most Token-efficient open-source AI Agent
This repository is my Pi coding agent home directory. I keep it under version control and symlink it to ~/.pi/agent so Pi loads configuration, extensions, skills, and runtime state from here.
A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with , , , and .
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
这个仓库源于我使用 Codex 的日常需求。写论文不是单点任务，而是一条从构思、实验、写作、审稿到 rebuttal 的长链路；每一步都需要 AI 有边界、有证据、懂学术表达。因此这个仓库把 组织成当前 7 个模块、27 个可触发 Skills：
- 작성자: 정구봉 - LinkedIn: https://www.linkedin.com/in/gb-jeong/ - 이메일: [email protected]
一个本地优先、可被 AI Agent 调用并持续维护的个人知识库，以及它的可视化 Workbench。
A comprehensive, build-ready reference for constructing a high-performance personal knowledge system using Obsidian and Claude Code, grounded in Andrej Karpathy's "LLM Wiki" pattern (April 2026).