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
Add vision to text-only models in Opencode (, ) — , no manual file saving.
Open-source, local-first memory and context for AI agents. One memory store, every agent.
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.
Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.
个人知识库 MCP 服务器 — 对本地文档建立索引，并提供一组飞书 API 工具，通过 MCP 协议供 AI 客户端访问。
LogLead performs log loading, log enhancement, log feature engineering, log analysis, log anomaly detection also via MCP-server.
Agent Skills
⚠️ senpi is an opinionated, in-flight fork of badlogic/pi-mono. It powers Dori under the hood and reflects what one specific AI assistant needs from a coding-agent runtime.
FileScopeMCP watches your code, ranks every file by importance, maps all dependencies, and keeps AI-generated summaries fresh in the background. When your LLM asks "what does this file do?
======================================= Python 官方說明文件臺灣繁體中文翻譯計畫 =======================================
: Claude Opus 5 (claude-opus-5) / Claude Opus 4.6 (earlier chapters) : Claude Code + OpenClaw + OpenCode : 2026-08-02 : v2026.3.9 (v2026.3.8-170-g665f67726) : https://github.
Generate beautiful static reports for ad hoc analysis. A Claude skill that turns compact JSON specs into professional HTML visualizations.
A structured repository for creating and maintaining NestJS Best Practices optimized for agents and LLMs.
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an entire engineering department: routed expert panels that deliberate and decide, then , , and...
4461 行实战知识 · 243 个章节 · 105+ 代码示例 · 生产覆盖 API 24，跟踪 HarmonyOS 7 / API 26 Beta1
你現在是 lo2cin4bt 的專案經理（Project Manager，PM）。請檢查本機環境、初始化內建策略示範，並幫我執行 QQQ 日線簡單移動平均線（Simple Moving Average，SMA）穿越回測。整個流程只做本機研究，不要實盤交易或下單。
— this project is in early development. Expect rough edges, breaking changes, and the occasional FreeCAD crash from LLM-generated code. Use with caution and save your work frequently.
Расскажи словами, что нужно построить — получи готовый проект.
Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).