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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
The Typescript MCP Framework
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 Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
MCP Server for Burp
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...
A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API
Inspect schemas and run controlled read queries against PostgreSQL databases.
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。
A Model Context Protocol (MCP) server that facilitates structured, progressive thinking through defined stages.
Published in CNCF Landscape: A MCP server for Kubernetes.
This MCP server is deprecated and will only receive critical security updates going forward. It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.
160+ animated, accessible, production-ready components — delivered as raw source code, owned by you forever.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)