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
AI-powered penetration testing MCP server
MCP-based assistant for busy people who are context switching
A single-binary MCP server that connects Claude Desktop and Claude Code to Microsoft Outlook via the Microsoft Graph API.
The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.
An MCP server for Basecamp 3. It lets MCP-capable clients such as Codex, Cursor, and Claude Desktop read and manage Basecamp projects through OAuth-authenticated Basecamp API calls.
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一款面向 的跨平台桌面工具。把提示词模板、自定义 Prompt、第三方 API 供应商、会话同步、Skills / MCP 和 TOML 配置都放进可视化界面里，不用反复手改文件。
Agent Skills
· Next-Gen Transparent Agent Architecture
31 skills for Claude Code covering the full academic research paper lifecycle — from literature search to slide generation — plus GitHub repository analysis for research topics.
gentle-pi installs in Pi: a senior-architect operating layer for Spec-Driven Development, focused subagents, strict TDD evidence, reviewable work units, safety guards, project/user skill discovery,...
Accounts are free, with a 100 MB storage quota and rate limits sized for agent workloads.
https://github.com/user-attachments/assets/e3ed5b34-1ddb-43a6-af42-2d1a907d3564
is a framework for long-term life simulation in multi-agent societies. Agentopia simulates human social life across years: In our experiments, 100 agents autonomously take part in social life over 10...
You have a folder of notes, docs, data, and images. You want a presentation. You type /codeck.
Claude Code Plugin for Stealth Browser Automation & WAF Bypass
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
Shipped by @soyenriquerocha | Built by the Tododeia community — empowering developers to ship secure software.
Browser automation agents forget everything between runs. Same site, same page structure to figure out, every single time. Wasted time, wasted tokens.
You found an amazing open-source project and want AI to help you understand and work with it, but faced these problems: Too much code for AI to read? Complicated configuration AI can't handle?