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

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across...

It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件,通过 MCP协议实现 AI 助手与 Zotero深度集成。

gcloud MCP server

A Model Context Protocol (MCP) server that reads and writes MS Excel data

Published in CNCF Landscape: A MCP server for Kubernetes.

A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API

The Typescript MCP Framework

Core PHP implementation for the Model Context Protocol (MCP) server

A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

Inspect schemas and run controlled read queries against PostgreSQL databases.
Agent Skills

本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹,包含 SKILL.md(Agent 执行指令)、README.md(人类文档)、references/(Prompt 参考)和 assets/(模板 HTML)。

这是 codex-windows-fast-patch skill 的公开版本,用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。

🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.

A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.

PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文

a desktop app for getting work done with any model

Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...

— This project is in early development. APIs and skill content may change.

The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...

Add both Manim skills to your AI agent instantly:

Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.

“论文不是把字堆满,而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”