Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.

Making AI coding assistants experts at Swift and iOS development.

Local multi-agent coding orchestrator with 22 pipeline roles, TDD enforcement, SonarQube integration, and automated code review. Supports Claude, Codex, Gemini, OpenCode and Aider.

Git-native API client with encrypted secrets.

This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).

A simple MCP server that lets AI assistants help you with domain research - checking availability, looking up WHOIS info, finding expired domains, and more.

douyin-mcp 让 AI 同时读懂你的抖音创作数据和视频内容 本地运行 · 音轨文案按需提取 · 数据可追溯 · 面向个人创作者的 MCP Server

A CLI tool for managing MCP servers configurations for MCP clients.

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code.

本项目是一个本地 Streamable HTTP MCP Server,用于把 WMPFDebugger 暴露的裸 Chrome DevTools Protocol WebSocket 包装成 MCP 工具,辅助 Codex / Cursor / VS Code Agent 对已授权调试的微信小程序进行安全评估、证据采集和报告整理。

SOMCP 是一个运行在 Android 手机上的本地 SO 逆向 MCP 服务器。它通过 Streamable HTTP 暴露 MCP 工具,让客户端可以在手机上完成 ELF 结构分析、Rizin 反汇编/分析、LIEF ELF 修复/重写、补丁会话、构建导出、Cloudflare Tunnel 暴露和可选 APK MCP 桥接。

This is an MCP server that connects Reaper projects to an MCP client like Claude Desktop, enabling you to ask questions about your projects and get comprehensive audio analysis for mixing feedback.
Agent Skills

Agent Harness · Spring Boot inside · One JAR to ship

Pure python3 implementation for working with iDevices (iPhone, etc...).

从多项目日常使用中提炼的 Claude Code 工作流模板——涵盖记忆管理、上下文工程与任务路由。

An open-source biomedical AI research assistant built on OpenClaw and Claude Code, integrating 140 K-Dense Scientific Skills for bioinformatics, drug discovery, clinical research, and more.

dotagents One canonical .agents folder that powers all your AI tools.

This repository contains hands-on tutorials for learning LangChain, LangGraph, and Deep Agents, organized into two learning tracks:

A self-improving product system that reads daily reports, identifies the #1 actionable priority, and autonomously implements it.

Modern agents are not "a prompt + a tool." They are — with identity, memory, skills, tools, MCP integrations, guardrails, observability, evals, and a provider strategy.

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.

Platform design skill pack: 450+ rules for Apple HIG, Material Design 3, and WCAG 2.2 across iOS, iPadOS, macOS, watchOS, visionOS, tvOS, Android, and Web.

The practical guide to building AI agent harnesses — with real code examples you can copy and run.

本书围绕 DeerFlow 2.0,从理论到源码,系统讲解如何进行二次开发。 所有代码示例均基于真实源码,确保与 DeerFlow 实现保持一致。