Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.

Real reap --agent output, run against a generated sample stack ( hero-fixture.sh ) — not anyone's install. The numbers further down are measured on mine.

Open security engineering for code written by humans and AI agents. Discover. Repair. Verify.

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.

MCP-based assistant for busy people who are context switching

Point Claude at any audio file and it can tell you the key, tempo, dynamics, timbre, percussive character, stereo field, structural sections, and how the music evolves over time -- all from raw audio...

Thunderbird MCP gives an AI agent real control of the Thunderbird already running on your machine — your mail, your folders, your contacts, your calendar, your filters, and your actual settings.

A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.

makes it easy to deploy and serve Haystack Pipelines and Agents.

MCP server that scrapes public posts from X, LinkedIn and Hacker News in a local browser that is never signed in

(pronounced arc one [ɑːrk wʌn]) — Enterprise-ready MCP server for SAP ABAP systems. Secure by default, deployable to BTP or on-premise, and hardened with large unit/integration/E2E test coverage.

This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
Agent Skills

Shipped by @soyenriquerocha | Built by the Tododeia community — empowering developers to ship secure software.

基于 OpenClaw 的论文自动检索、总结、评估智能体框架。 可为任意研究领域生成专门的论文专家智能体。

这是一个用 Python 从零构建 AI Agent 的教学项目。项目核心是 build-agent-example/:从一次模型调用开始,后续每一步都保留前一步的全部代码和能力,逐步加入循环、history、system prompt、工具、skills、memory、规划、子代理、团队协作、MCP 和 hooks。

Kilroy is a local-first CLI for running StrongDM-style Attractor pipelines in a git repo.

7步工作流 | 5+16类审查门禁 | 15风险标签 | 8维度评分 | 终稿三件套 + HTML报告 | Track Changes + Comments

给 Gemini CLI、Claude Code、Codex 等 AI 编程助手使用的 HarmonyOS NEXT 离线参考技能库。

⚠️ qu-ai-wei 仍在迭代,规则、分类、API 都可能变动。欢迎提 issue / discussion / PR 反馈。 繁體有自己的 AI 腔特征、用字偏好、排版规范,规则需要单独维护,留给后续版本。

LightClaw: The Real Lightweight AI Assistant

Give your AI coding agent eight structured ways to find a better product direction — not just another feature to ship. A router diagnoses how you're stuck and picks the right move.

This collection of skills grew out of my day-to-day paper-writing workflow and has been iteratively refined over time.

这个库的旨在为同学消除选择课程,学习资料等信息差。 在大学中存在大大小小的信息壁垒,然而要打破这些壁垒获取情报却要耗费大量时间精力。 有时上完一节课才意识到应该如何去上这门课,但为时已晚,学习结果可能不尽人意留下遗憾。 为了将那些不确定的,流状态的,短暂的,难以获取的,口口相传的信息保存下来,我们建立了这个库,希望能帮助到大家。 (摘自浙江大学课程攻略共享计划)

Your AI agent writes code. Nanostack makes sure it ships work you can trust.