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
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Scan your dev machine for AI agents, MCP servers, IDE extensions, suspicious files, and risky package-manager configs — in seconds.
A starting point for Claude Code to Codex collaboration
furi is an easy to use, CLI & API for MCP management.
combining Claude Code monitoring, Claude Code config management, hooks, agents, and MCP servers in a single 5.8MB binary. 89x faster startup with SQLite cache, 492 tests, 0 clippy warnings.
No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling
Use Devnors Data from Python with one API Key.
An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Index a dataset once, then retrieve column profiles, filtered rows, server-side aggregations, and cross-dataset joins — so a million-row file costs thousands of tokens instead of millions.
基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
Agent Skills
Multi-agent team orchestration skill for Claude Code.
Accounts are free, with a 100 MB storage quota and rate limits sized for agent workloads.
Browser automation agents forget everything between runs. Same site, same page structure to figure out, every single time. Wasted time, wasted tokens.
A Meta-Skill for Private-First Distribution of Agentics (Skills, Agents, and Prompts) across your Agents, Devices, and Teams.
A Claude Code skill for generating Mermaid diagrams. Supports 23 diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and more.
Crew44 turns the AI agents you already run — Claude Code, Codex, Gemini, Cursor, and more — into a coordinated team.
LLM Wiki 是一种用 LLM 构建个人知识库的方法论。与传统 RAG（每次查询从头检索）不同，LLM 会**，知识随每次导入和查询不断积累，形成复利效应。
输入一个行业，帮你看清钱、权力和机会；输入一家公司，先确认投资或求职目的，再判断它是否值得买、值得去。 🔒 — 所有结构化金融数据（行情/财报/估值/一致预期/研报/资金流向等）均来自腾讯自选股官方数据接口，与微信「腾讯微证券」小程序、腾讯自选股 APP 同源。A 股/港股覆盖深度尤其突出。行业与宏观数据辅以权威一手材料交叉验证，每份报告逐条标注信源等级（A/B/C）。
AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
*This video was generated by this pipeline — Vietnamese TTS + HyperFrames + GSAP animations, no manual editing.*
Started from a PyMol plugin, towards a comprehensive molecular design assistant.
Production-ready patterns for React Native development, packaged as a Claude Code plugin. Maintained by Software Mansion.