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
An Model Context Protocol (MCP) server that provides real-time analysis of Lovable-generated projects for AI tools like Claude Desktop.
A powerful that converts 29+ file formats to clean, structured Markdown using Microsoft's MarkItDown library.
Returns actual analysis results, not prompts to submit elsewhere.
Search Congress bills, Federal Register documents, court opinions, and committees. No API keys required (optional for enhanced access).
This is a Model Context Protocol (MCP) server that provides access to the Elsevier Scopus API. It allows AI assistants to search for academic papers, retrieve abstracts, and look up author profiles.
A Model Context Protocol (MCP) server that provides seamless integration with Evernote for note management, organization, and knowledge capture. Works with both Claude Code and Claude Desktop.
Bills, full bill text, votes, members, committees, hearings, nominations, and the Congressional Record — queried in natural language through the Model Context Protocol.
A Model Context Protocol (MCP) server that provides AI-enhanced code search capabilities using Sourcegraph.
The official mcp-server for BALLDONTLIE
An MCP (Model Context Protocol) server that wraps gopls to provide Go language server features.
MariaDB MCP (Model Context Protocol) server implementation
Model Context Protocol (MCP) servers for managing homelab infrastructure through Claude Desktop.
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)