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
Turn the object in an attached image into a quality-gated, animation-ready procedural Three.js model built entirely with code.
Claude Code+Obsidian，邪修读论文就是快
A production-oriented starter kit for building AI-powered web apps with an agentic development workflow. It gives you a working Next.
Built for researchers, it runs on your own computer (macOS, Windows, Linux). Create a project, describe a task in plain language, and let the AI agent read files, run Python and R code, search the...
Canary QA harness built for Claude Code.
Comprehensive list of SAP-related MCP servers, SAP AI development skills, and Claude plugin repositories.
repo-harness ships a CLI plus skill/runtime hooks that write context, plans, handoffs, checks, and review evidence back into the project, so the next agent session continues from files instead of...
agent-spec is an for AI agent coding: it compiles human intent — through structured requirements as the intermediate representation (IR) — into verifiable Task Contracts, then mechanically verifies...
Open-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables.
English · 简体中文 · Project Rules · Initial Prompt · 📧 Contact
AI Legal Assistant skill for Claude Code. Contract review, risk analysis, NDA generation, compliance auditing, negotiation strategy, and PDF reports — 14 skills, 5 parallel agents.
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