Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
MCP server to enable an LLM to do basic static triage of a PE.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
A simple NextJS MCP client with sensible keybindings
Local macOS control server for MCP clients and Custom GPT Actions
Professional Serial Port Debugging Assistant with Modbus, PLC, CAN, I2C/SPI support and MCP server
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.
The MCP ecosystem has grown to 10,000+ servers, but discovering and installing them remains painful. Existing directories — Glama, PulseMCP, mcp.so — are all closed source.
Local-first MCP policy proxy. Tool-block, SQL-mutation gate, PII redact, audit, rate-limit, OpenTelemetry, vault secrets, first-use quarantine, schema pre-inject. No hosted gateway.
Your senior Microsoft 365, Intune, and Entra admin, installed in the AI client you already use. Agent Skills plus MCP servers for Claude Code, Cursor, Codex, Gemini, and GitHub Copilot, with a human...
Git-native API client with encrypted secrets.
Agent Skills
A reusable AI learning skill for mastering almost any subject through project-driven learning, mastery checks, and authoritative sources.
Nominal's agent skills: packaged instructions that coding agents can load to perform a focused task.
A framework-agnostic, git-native standard for defining AI agents
科研写作助手 (Research Writing Assistant)
Pi extension for async subagent delegation with truncation, artifacts, and session sharing
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge...
A skill family for shaping the research storyline of CCF-A papers.
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、社区轻量地图、统一社区抽屉、悬停预览、轻量摘要、明确进入阅读、Shift 多选、画布缩放拖拽和小地图定位，全部离线运行，不依赖服务器。
Make any LLM talk like a normal person. A system prompt that removes AI slop.
Delegate coding to agents. Improve the loop around them.
Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.