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

Provide the latest cryptocurrency news to AI agents, powered by CryptoPanic.

MCP Server for interacting with BitBucket API

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

An mcp server for your food ordering needs.

A monorepo of Unraid tooling: two MCP servers (Python and Rust) and three Unraid OS plugins, plus the Claude/Codex agent integrations that surface them.

Commands · MCP Servers · Plugins · Tools · Workflows · Agent Frameworks

MCP servers for Yandex APIs — search, keyword research, webmaster tools, and web analytics for the Russian market.

Tinder for your Claude Code skills. Swipe through your collection and delete what's wasting context, in seconds.

kiro SPEC mode impl by mcp

Claude Code skills that let Claude interact with Web of Science (WoS) through Chrome DevTools MCP.

MCP server that wraps Cisco pyATS and Genie, letting AI agents (Claude, LangGraph, etc.) run show commands, apply configuration, and query network state over STDIO using JSON-RPC 2.0.

tradingview mcp which connect claude code via chrome devtools protocol
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!