Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
The ngrok alternative with .local domains, a scriptable CLI, and an MCP server for AI agents
Typed async Python clients + MCP server for Romania's ANAF web services: e-Factura, e-Transport, and public taxpayer lookups.
MCP server to extract contents from a PDF file
The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.
Open-source SAST engine that traces vulnerabilities across files and functions
The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.
Shared MCP server for the Upvote.club Public API.
MCP server for flyonUI
The enterprise-grade TypeScript framework for building production-ready MCP servers. Decorators. Dependency Injection. Widgets. One framework to ship AI-native backends.
Agent Skills
📄 bruce-doc-converter - Office/PDF 与 Markdown 双向转换，自动渲染 Mermaid 图表，让 AI 轻松读懂你的文档
dsh-agent-teams turns the current DeepSeek Harness session into a captain that can assemble durable sub-agents, split a goal into dependency-aware tasks, and coordinate work through direct messages.
Documentation • 中文文档 • Live Examples • Tutorials
所以做了这个可以蒸馏任意账号/作者写作风格的 agent skill，让写作不再痛苦，不再从 0 开始难产。
High-fidelity AI image prompt reverse-engineering skill for Codex
Agent skills for Railway, following the Agent Skills format.
Built by a physician-researcher, tested on real publications.
一行命令,让你的 AI 助手学会查文献、写综述、跑回归、管引文、写基金—— 科研龙虾 (Research-Claw) 的内置技能库,同时兼容 40+ 主流 Agent 框架。
- 简历精修（针对 AI / Agent 岗位优化） - 项目包装（这是最核心的，根据你过往的工作/实习和项目经历，定制化包装成agent项目，尽量多地融入agent主流技术，以及给你一份面试时口述的逐字稿） - 模拟面试（结合你的项目经历和大厂常问的问题进行深挖） - 全程陪跑（从投递到拿 offer）
다이소(제품/매장/재고), 상품 가격 비교, 주변 음식점/카페, 주유소/유가, 개발자 요청 제출, 롯데마트(매장/상품), GS25(매장/상품/재고), 세븐일레븐(상품/매장/재고/인기검색어/카탈로그), CU(매장/재고), 이마트24(매장/상품/재고), 올리브영(매장/재고), 메가박스(지점/영화/시간표/좌석), 롯데시네마(지점/영화/좌석),...
Bring your Entire context to your agents with cross-agent skills.
把一句「把这个流程做成 Skill」，变成一个真正能被发现、能稳定触发、能通过验证、还能一键开源的 Skill。