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

Evidence-grounded repository audit CLI - deterministic scanner, MCP server, live dashboard, and a GitHub Action that posts PR diffs.

泪心UE4Dump逆向分析MCP工具

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。

Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.

Desktop Extensions: One-click local MCP server installation in desktop apps

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

MCP server implementation for using Claude API with Claude Desktop, providing advanced API integration and conversation management.

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Every scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without...

Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.

Train in Silence The first Task-Aware MCP server for LLM fine-tuning. Stop comparing GPU prices. Start training. 中文

MCP Server for Ozon marketplace - search products, get details, prices and delivery info
Agent Skills

A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.

TL;DR: Thea brings coding agents to the physical world.

Your future self will thank you. Or blame you. It depends on the diff.

Claude Code version of skill-autoimprove — auto-improve any CLAUDE.md using Karpathy autoresearch loop

面向 AI Agents 的安全、可持久化沙箱执行平台(Secure, Persistent Execution Platform for AI Agents)

—— 一套可被任意 AI agent(Claude / GPT / Cursor…)使用的**。

小提示:导入数据时**,尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式,没有时间戳,跑不出 K 线。详见 输入格式。

Why use many token when few token do trick?

🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.

This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.

PhD students spend weeks on literature surveys. Most of that time is plumbing — finding papers, extracting claims, cross-referencing terminology, building comparison tables, chasing citation chains.

adds rollback/recovery, adaptive context loading, and model routing intelligence on top of the original GSD by TÂCHES. Synced with upstream v1.24.0.