Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

An MCP Server for Linkwarden

Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants

MCP layer for 1C

MCP server for SQL static analysis.

MCP server for analyzing WallStreetBets

The Descope Model Context Protocol (MCP) server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information.

Give your AI assistant its own AI assistants.

A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.

The Wireshark for the Model Context Protocol (MCP)

Use MCP to control Recaf4.0 to achieve methods like decompile/rename

An MCP server for code reviews using OpenAI and Google models for Claude-code

A Model Context Protocol (MCP) server that provides seamless integration with Instagram's Graph API, enabling AI applications to interact with Instagram Business accounts programmatically.
Agent Skills

Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.

A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...

AI agent skills for creating avatar videos. Your agent gets a face, a voice, and the ability to send video like a message.

The #1 Kubernetes skill for Claude Code and Codex, measured by GitHub stars.

一句话:输入一个基金代码,Agent 把基金经理 8 年的每一笔买卖翻出来,拿 12 个月后的真实走势逐笔验对错,最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测,全都有。

is a config-driven dev tool for Elixir projects that manages your AGENTS.md file and agent skills from dependencies. It:

A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities.

Community-driven agent skills for AI coding assistants

ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.

Molecode presents molecules as code and enables LLMs to operate and reason on chemistry directly. Instead of making language models reconstruct molecular structure from cryptic strings, MoleCode lets...

Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.

AI coding agents are great at Python. They hallucinate in Spring Boot.