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
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!