Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers

JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具,专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力,可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。

This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.

Not a path. Not a URL. A handoff that answers back.

CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.

一个将ACE(Augment Context Engine) 做成MCP的项目

Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.

AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.

High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with compiler-grade resolution for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++,...

Vibetest MCP - automated QA testing using Browser-Use agents

Token-efficient MCP adapter for Pi coding agent

MCP server that gives AI assistants the power to control a web browser.

Citra — PDF answers with page-level proof. Local-first structured text, tables, OCR, visual evidence, and citations via MCP, CLI, and SDK.
Agent Skills

Fast, AI-ready, and zero-config. Free and open source, forever.

agent skills for vibe motion

A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

Visual skill manager for AI agents. Desktop app and TUI.

License MIT · skills.sh Compatible Runtime

fly ai agent skill

NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...

Lakehouse graph database for context assembly & multi-agent coordination Multimodal retrieval · Git-style branching · object-storage native

The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

About • How It Works • Documentation • Quickstart • Skills • Templates