Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
One command. TypeScript Python. Example tools, the Inspector, and tests — all wired up. Or point it at an OpenAPI spec and get
Local-first memory layer for CLI agents. Indexes Claude Code, Codex CLI, and Cursor session histories into SQLite + FTS5 — searchable from a CLI, TUI, or MCP server so your next agent session can...
ArcGIS Pro Bridge MCP Server 是一个给 ArcGIS Pro 用的本地 MCP Server。
](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
Use any MCP server or HTTP API as a standard CLI command. A lightweight daemon + CLI that turns remote MCP tools and configured HTTP endpoints into native shell commands your agent or script can call...
Outcome-Based Persistent Memory MCP Server
The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.
Open-source SAST engine that traces vulnerabilities across files and functions
188+ local tools for Claude, ChatGPT, Cursor & Grok — Mail, iMessage, Teams, Slack, WhatsApp, OneDrive, Google Drive, Zoom, Outlook, Office. Native macOS, 100% local, no API keys.
Use ChatGPT Developer Mode as a local coding agent for your repo through MCP.
A secure Windows SSH workspace and MCP server for Codex, Claude Code, Cursor and other AI agents.
Agent Skills
Multi-agent team orchestration skill for Claude Code.
An agent-oriented skill for turning an SVG into a hand-drawn animation deliverable.
一个封装了产品经理核心思维的 skill，帮助非产品经理用户写出高质量的产品需求文档（PRD）。 A skill that encodes core product management thinking to help non-PM users write high-quality Product Requirement Documents.
humanize-text-skill is a bilingual writing skill for removing AI-shaped prose and pulling the result toward a target human voice.
Browser automation agents forget everything between runs. Same site, same page structure to figure out, every single time. Wasted time, wasted tokens.
is a production-ready Python package designed for football (soccer) analytics, providing powerful tools from pena.lt/y/blog for data analysis, outcome modelling, and betting insights.
This repository is a generated compatibility mirror. The editable source, Issues, and contributions live in zjp1997720/zhijian-skills.
LLM Wiki 是一种用 LLM 构建个人知识库的方法论。与传统 RAG（每次查询从头检索）不同，LLM 会**，知识随每次导入和查询不断积累，形成复利效应。
🎬 One-stop video content extraction and copywriting analysis tool. Download videos, smart subtitle extraction (embedded/burned/audio), and analyze scripts using three AI frameworks.
Turn any LLM into a deterministic World Cup prediction engine with one prompt.
Agentic skill for AI agents to request and receive payments. If you are looking for the agentic skill to make payments for services and products, checkout https://money.flows.network
A React UI component library inspired by The Legend of Zelda: Breath of the Wild. 83 components with dark theme, Sheikah glow effects, and AI-consumable design specs.