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
An OpenCode and Codex CLI plugin that bundles agent skills, MCP servers, parallel execution, and superpowers into a single install.
A collection of reusable skills that give AI Agents expertise in Flux CD, Kubernetes, and GitOps best practices for generating manifests, answering Flux questions, auditing repository structure,...
hardhat deployment plugin
AI-powered open-source framework for vibe-coding audio plugins from concept to shipped product
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
Web UI · REST API · CLI · 40+ models · 11+ databases
Install focused Agent Skills from one trusted source, with complete payloads and independently verified releases.
國立成功大學 資訊工程研究所 ｜ 114 學年度 第 2 學期 ｜ 3 學分 授課教師：莊坤達 ([email protected])
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, on your machine.
⚡️🎉A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs
für die anwaltliche Praxis im deutschen Recht – Skills, Sub-Agenten, Workflows etc. als Anregung für Kanzlei-Arbeitsabläufe.
Resource as Code for Apache Kafka and beyond Topics, ACLs, schemas, quotas, and connectors: declared in Git, reconciled against your real clusters. Kafka-first. Platform-ready.